WO2022062456A1

WO2022062456A1 - Method and apparatus for controlling output of detection result of fetal ultrasound image, and system

Info

Publication number: WO2022062456A1
Application number: PCT/CN2021/096816
Authority: WO
Inventors: 谢红宁; 汪南; 冼建波; 梁喆; 吴杰林; 吴婉萍; 许生鸿
Original assignee: 广州爱孕记信息科技有限公司
Priority date: 2020-09-24
Filing date: 2021-05-28
Publication date: 2022-03-31
Also published as: CN112215806A

Abstract

A method and apparatus for controlling the output of a detection result of a fetal ultrasound image, and a system. The method comprises: inputting a received fetal ultrasound image into a determined image analysis model for analysis, acquiring an analysis result output by the image analysis model, and taking same as a detection result of the fetal ultrasound image; and controlling an output terminal to output the detection result, wherein the detection result includes a detection result of each feature of the fetal ultrasound image; the detection result of each feature includes a detection identifier of the feature; the detection identifier corresponding to each feature is used to indicate that the feature is one among a feature to be subjected to detection, a feature which has been subjected to detection and is normal, a feature which has been subjected to detection and is suspect, and a feature which has been subjected to detection and is abnormal; the feature which has been subjected to detection and is suspect is a feature which has been subjected to detection and is of an uncertain category; and the feature which has been subjected to detection and is abnormal is a feature which has been subjected to detection and has an abnormal structural feature. It can be seen that by means of the method, an accurate detection result of features of a fetal ultrasound image can be quickly acquired, thereby facilitating accurate determination of the growth and development condition of a fetus.

Description

Method, device and system for output control of detection result of fetal ultrasound image

technical field

The present invention relates to the technical field of image processing, and in particular, to a method, device and system for outputting a detection result of a fetal ultrasound image.

Background technique

With the progress of society and the strengthening of people's awareness of obtaining healthy newborns, more and more pregnant women obtain the growth and development of their fetuses through regular obstetric examinations.

At present, the acquisition method of fetal growth and development is as follows: using the principle of ultrasonic collection of echoes, displaying fetal tomographic images on the screen, and obtaining fetal dynamic images, then the staff with relevant experience will analyze the detection of fetal ultrasound images based on their own experience. As a result, the growth and development of the fetus can be determined. However, it has been found in practice that, due to limited experience and/or fatigue of the staff, this can easily lead to the failure to obtain high-accuracy fetal ultrasound image detection results, so that the fetal growth and development cannot be accurately determined.

SUMMARY OF THE INVENTION

The technical problem to be solved by the present invention is to provide an output control method, device and system of fetal ultrasound image detection results, which can obtain accurate fetal ultrasound image detection results to accurately determine fetal growth and development.

In order to solve the above-mentioned technical problems, the first aspect of the present invention discloses a method for outputting a detection result of a fetal ultrasound image. The method is applied to an intelligent detection system, and the method includes:

The intelligent detection system inputs the received fetal ultrasound image into the determined image analysis model for analysis, and obtains the analysis result output by the image analysis model as the detection result of the fetal ultrasound image;

The intelligent detection system controls the output terminal corresponding to the intelligent detection system to output the detection result;

The detection result includes detection results of multiple features of the fetal ultrasound image, the detection result of each feature includes a detection identifier of the feature, and the detection identifier corresponding to each feature is used to indicate that the feature is One of a feature to be checked, a checked and normal feature, a checked and suspected feature, and a checked and abnormal feature, the checked and suspected feature is a feature of a detected and uncertain category, the checked and Anomalous features are features that have been detected and that have anomalous structural features.

As an optional implementation manner, in the first aspect of the present invention, the method further includes:

The intelligent detection system judges whether there is a determined key detection feature in all the features according to the target information of all the features included in the fetal ultrasound image;

When it is determined that all the features included in the fetal ultrasound image have at least one of the key detection features, the intelligent detection system controls the output terminal to output a schematic diagram of a section corresponding to each of the key detection features, and each The schematic diagram of the section corresponding to the key detection feature includes the output identification of each structural feature in the standard section corresponding to the key detection feature;

The intelligent detection system determines the detection situation of the structural feature corresponding to the output mark according to the change of each of the output marks included in the schematic section diagram corresponding to each of the key detection features;

Wherein, for any one of the key detection features, when the change of each of the output signs included in the schematic section diagram corresponding to the key detection feature is used to indicate that the output sign changes from the first state to the second state, each The detection situation of the structural feature corresponding to each of the output identifiers is used to indicate that the structural feature is detected in the corresponding standard section.

As an optional implementation manner, in the first aspect of the present invention, the output interface of the output terminal includes a first area and a second area, the first area is used for outputting the detection result, and the second area is used for outputting the detection result. The area is used to output a list of features to be checked and a list of checked features corresponding to the fetal ultrasound image. The list is used to store a plurality of checked features of the fetal ultrasound image, and the categories of all the features to be checked included in the feature list to be checked include the categories of all the checked features included in the checked feature list , the categories of the multiple features included in the fetal ultrasound image include all categories of the features to be checked included in the feature list to be checked.

As an optional implementation manner, in the first aspect of the present invention, all the features included in the fetal ultrasound image include multiple structural features of the fetal ultrasound image, and the detection result of each of the features further includes The feature parameter of the feature, the feature parameter of each feature includes the category information of the feature;

And, after the intelligent detection system obtains the analysis result output by the image analysis model as the detection result of the fetal ultrasound image, the method further includes:

The intelligent detection system determines the part feature of the fetal ultrasound image of the frame where each of the structural features included in the fetal ultrasound image is located, and determines the feature parameter of each of the part features, and the feature parameters of each of the part features include: Category information of the feature of the part;

The intelligent detection system determines the standard section of each feature according to the category information of each feature and the category information of the part feature corresponding to the feature, and the detection result of each feature also includes the standard section of the feature. test results.

As an optional implementation manner, in the first aspect of the present invention, after the intelligent detection system obtains the analysis result output by the image analysis model as the detection result of the fetal ultrasound image, the method further includes:

The intelligent detection system determines whether a playback request triggered by a fetal ultrasound image corresponding to a certain target feature category is detected, and the playback request is used to request playback of the fetal ultrasound image corresponding to the target feature category, and the target feature category The corresponding fetal ultrasound images include the optimal frame fetal ultrasound images corresponding to the target feature category, fetal ultrasound images of all standard slices corresponding to the target feature category, and fetal ultrasound images of all chapters corresponding to the target feature category. At least one, the fetal ultrasound image includes a fetal ultrasound image corresponding to the target feature category, the target feature category includes a target structural feature category and/or a target standard slice category, and each of the sections included in each of the The same categories of standard slices of fetal ultrasound images;

When the judgment result is yes, the intelligent detection system determines the fetal ultrasound image corresponding to the target feature category according to the playback request, and controls the output terminal to play back the fetal ultrasound image corresponding to the target feature category.

As an optional implementation manner, in the first aspect of the present invention, the intelligent detection system determines the fetal ultrasound image corresponding to the target feature category according to the playback request, including:

When the fetal ultrasound image corresponding to the target feature category is the optimal frame fetal ultrasound image corresponding to the target feature category, the intelligent detection system determines that each of the standard slices corresponding to the target feature category The slice score of the standard slice;

The intelligent detection system determines the frame fetus corresponding to the standard slice corresponding to the highest slice score from all the standard slices according to the slice score of each of the standard slices corresponding to the target feature category. The ultrasound image is taken as the optimal frame fetal ultrasound image corresponding to the target feature category.

As an optional implementation manner, in the first aspect of the present invention, the intelligent detection system, according to the slice score of each of the standard slices in all the standard slices corresponding to the target feature category, from all the standard slices Before determining the frame fetal ultrasound image corresponding to the standard slice corresponding to the highest slice score among the standard slices as the optimal frame fetal ultrasound image corresponding to the target feature category, the method further includes:

When the target feature category is the target structure feature category, the intelligent detection system determines whether the target feature category corresponds to at least two matching feature categories, and the at least two matching feature categories include at least two matching standard slices category or at least two matching chapter categories;

When the judgment result is no, trigger the execution of the slice score of each of the standard slices in all the standard slices corresponding to the target feature category, and determine the slice corresponding to the highest slice score from all the standard slices The frame fetal ultrasound image corresponding to the standard slice is used as the operation of the optimal frame fetal ultrasound image corresponding to the target feature category;

When the judgment result is yes, the intelligent detection system determines the slice score of each of the standard slices in all standard slices corresponding to each of the matching feature categories corresponding to the target feature category, and determines the slice score of each of the standard slices according to each of the standard slices. The slice score of each of the standard slices corresponding to the matching feature categories is selected, the frame fetal ultrasound images corresponding to the highest slice score are selected from all the standard slices, and the frame fetal ultrasound images corresponding to all the matching feature categories are determined as The optimal frame fetal ultrasound image corresponding to the target feature category, and the number of the optimal frame fetal ultrasound image corresponding to the target feature category is greater than 1.

The intelligent detection system determines whether there are any abnormal features in all the features included in the fetal ultrasound image, and when the determination result is yes, selects all the abnormal features from all the features included in the fetal ultrasound image;

The intelligent detection system sorts all the abnormal features according to the determined sorting method, obtains all the sorted abnormal features, and controls the output terminal to output all the sorted abnormal features.

A second aspect of the present invention discloses an output control device for detection results of fetal ultrasound images, the device is applied in an intelligent detection system, and the device includes:

The analysis module is used for inputting the received fetal ultrasound image into the determined image analysis model for analysis;

an acquisition module, configured to acquire the analysis result output by the image analysis model as the detection result of the fetal ultrasound image;

a control module, configured to control the output terminal corresponding to the intelligent detection system to output the detection result;

As an optional implementation manner, in the second aspect of the present invention, the device further includes:

a first judgment module, configured to judge whether there is a determined key detection feature in all the features according to the target information of all the features included in the fetal ultrasound image;

The control module is further configured to control the output terminal to output and each of the key points when the first determination module determines that all the features included in the fetal ultrasound image have at least one of the key detection features. A schematic diagram of a section corresponding to the detection feature, and the schematic diagram of a section corresponding to each of the key detection features includes the output identifier of each structural feature in the standard section corresponding to the key detection feature;

a first determination module, configured to determine the detection situation of the structural feature corresponding to the output marker according to the change situation of each of the output markers included in the schematic section diagram corresponding to each of the key detection features;

As an optional implementation manner, in the second aspect of the present invention, the output interface of the output terminal includes a first area and a second area, the first area is used for outputting the detection result, and the second area is used for outputting the detection result. The area is used to output a list of features to be checked and a list of checked features corresponding to the fetal ultrasound image. The list is used to store a plurality of checked features of the fetal ultrasound image, and the categories of all the features to be checked included in the feature list to be checked include the categories of all the checked features included in the checked feature list , the categories of the multiple features included in the fetal ultrasound image include all categories of the features to be checked included in the feature list to be checked.

As an optional implementation manner, in the second aspect of the present invention, all the features included in the fetal ultrasound image include multiple structural features of the fetal ultrasound image, and the detection result of each of the features further includes The feature parameter of the feature, the feature parameter of each feature includes the category information of the feature;

And, the device also includes:

The acquisition module is further configured to, after acquiring the analysis result output by the image analysis model as the detection result of the fetal ultrasound image, determine the fetal ultrasound image of the frame where each of the structural features included in the fetal ultrasound image is located. part features;

a second determination module, configured to determine a feature parameter of each of the part features, and the feature parameters of each of the part features include category information of the part feature;

The second determination module is further configured to determine the standard section of each of the features according to the category information of each of the features and the category information of the part feature corresponding to the feature, and the detection result of each of the features also includes: The detection result of the standard slice of this feature.

The second judgment module is configured to judge whether a fetal ultrasound image trigger corresponding to a certain target feature category is detected after the acquisition module obtains the analysis result output by the image analysis model as the detection result of the fetal ultrasound image The playback request is used to request playback of the fetal ultrasound image corresponding to the target feature category, and the fetal ultrasound image corresponding to the target feature category includes the optimal frame fetal ultrasound image corresponding to the target feature category, all at least one of fetal ultrasound images of all standard slices corresponding to the target feature category and fetal ultrasound images of all chapters corresponding to the target feature category, and the fetal ultrasound image includes fetal ultrasound images corresponding to the target feature category, The target feature categories include target structural feature categories and/or target standard slice categories, and each of the chapters includes the same category of standard slices of each of the fetal ultrasound images;

a third determination module, configured to determine the fetal ultrasound image corresponding to the target feature category according to the playback request when the second determination module determines that the result is yes;

The control module is further configured to control the output terminal to play back the fetal ultrasound image corresponding to the target feature category.

As an optional implementation manner, in the second aspect of the present invention, the third determining module includes:

A determination submodule, configured to determine each of all the standard slices corresponding to the target feature category when the fetal ultrasound image corresponding to the target feature category is the optimal frame fetal ultrasound image corresponding to the target feature category. The section score of the standard section;

The determining sub-module is further configured to determine, from among all the standard sectional planes, the sectional plane score corresponding to the standard tangential plane with the highest sectional plane score according to the sectional plane score of each of the standard tangential planes corresponding to the target feature category. The corresponding frame of fetal ultrasound image is used as the optimal frame of fetal ultrasound image corresponding to the target feature category.

As an optional implementation manner, in the second aspect of the present invention, the third determining module further includes:

The judging sub-module is used to determine, in the determining sub-module, the section score corresponding to the highest section score from all the standard sections according to the section score of each of the standard sections corresponding to the target feature category. Before the frame fetal ultrasound image corresponding to the standard slice is used as the optimal frame fetal ultrasound image corresponding to the target feature category, when the target feature category is the target structural feature category, determine whether the target feature category corresponds to at least one of the target feature categories. Two matching feature categories, at least two of the matching feature categories include at least two matching standard section categories or at least two matching chapter categories; when the judgment result is no, trigger the determining sub-module to execute the The slice score of each of the standard slices in all the standard slices corresponding to the target feature category, and the frame fetal ultrasound image corresponding to the standard slice corresponding to the highest slice score is determined from all the standard slices as the target feature The operation of the optimal frame fetal ultrasound image corresponding to the category;

The determining sub-module is further configured to determine, when the determination result of the determining sub-module is yes, determine a section of each of the standard sections in all standard sections corresponding to each of the matching feature categories corresponding to the target feature category score;

A screening submodule for screening the fetal ultrasound image frame corresponding to the highest slice score from all the standard slices according to the slice score of each of the standard slices corresponding to each of the matching feature categories;

The determining submodule is further configured to determine all frames of fetal ultrasound images corresponding to the matching feature categories, as the optimal frame fetal ultrasound images corresponding to the target feature categories, and the optimal frame fetal ultrasound images corresponding to the target feature categories. The number is greater than 1.

A third judgment module, configured to judge whether there is any abnormality in all the features included in the fetal ultrasound image after the acquisition module obtains the analysis result output by the image analysis model as the detection result of the fetal ultrasound image feature;

a screening module, configured to screen all the abnormal features from all the features included in the fetal ultrasound image when the third judgment module determines that the result is yes;

a sorting module, configured to sort all the abnormal features according to the determined sorting method, and obtain all the sorted abnormal features;

The control module is configured to control the output terminal to output all the sorted abnormal features.

A third aspect of the present invention discloses another device for outputting the detection results of fetal ultrasound images. The device is applied in an intelligent detection system, and the device includes:

a memory in which executable program code is stored;

a processor coupled to the memory;

The processor invokes the executable program code stored in the memory to execute the output control method for the detection result of the fetal ultrasound image disclosed in the first aspect of the present invention.

A fourth aspect of the present invention discloses a computer storage medium, where the computer storage medium stores computer instructions, and when the computer instructions are invoked, is used to execute the output control of the detection result of the fetal ultrasound image disclosed in the first aspect of the present invention method.

A fifth aspect of the present invention discloses an intelligent detection system for implementing the output control method of the detection result of the fetal ultrasound image disclosed in the first aspect of the present invention.

Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

In the embodiment of the present invention, the intelligent detection system analyzes the received fetal ultrasound image input into the determined image analysis model, and obtains the analysis result output by the image analysis model, as the detection result of the fetal ultrasound image, and the control and intelligence The output terminal corresponding to the detection system outputs the detection result, wherein the detection result includes the detection result of multiple features of the fetal ultrasound image, the detection result of each feature includes the detection mark of the feature, and the detection mark corresponding to each feature is used to indicate the The feature is one of the feature to be detected, the detected and normal feature, the detected and suspected feature, and the detected and abnormal feature. The detected and suspected feature is the feature of the detected and uncertain category, and the detected and abnormal feature are features that have been detected and that have abnormal structural features. It can be seen that the implementation of the present invention can quickly obtain accurate detection results of each feature (for example: structural features, section) of the fetal ultrasound image by automatically analyzing the fetal ultrasound image, such as: abnormal, normal, suspected, detected, Undetected, it is beneficial to accurately determine the growth and development of the fetus; and by identifying each feature of the fetal ultrasound image, it can reduce the occurrence of missed detection of features, so as to improve the possibility of successfully detecting the required detection features, thereby It is further beneficial to realize the accurate determination of the growth and development of the fetus.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

1 is a schematic flowchart of a method for outputting a detection result of a fetal ultrasound image disclosed in an embodiment of the present invention;

FIG. 2 is a schematic flowchart of another method for controlling the output of a detection result of a fetal ultrasound image disclosed in an embodiment of the present invention;

3 is a schematic structural diagram of a device for outputting a detection result of a fetal ultrasound image disclosed in an embodiment of the present invention;

4 is a schematic structural diagram of another device for outputting a detection result of a fetal ultrasound image disclosed in an embodiment of the present invention;

5 is a schematic structural diagram of another device for outputting a detection result of a fetal ultrasound image disclosed in an embodiment of the present invention;

FIG. 6 is a schematic structural diagram of an intelligent detection system disclosed in an embodiment of the present invention.

detailed description

In order to make those skilled in the art better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only These are some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

The terms "first", "second" and the like in the description and claims of the present invention and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally also includes For other steps or units inherent to these processes, methods, products or devices.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor a separate or alternative embodiment that is mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

The invention discloses an output control method, device and system for the detection results of fetal ultrasound images, which can quickly acquire accurate fetal ultrasound images by automatically analyzing each feature of the fetal ultrasound images (for example, structural features, Section) detection results, such as: abnormal, normal, suspected, checked, unchecked, which is conducive to accurately determining the growth and development of the fetus; and by identifying each feature of the fetal ultrasound image, it can reduce the number of missed features. This occurs to increase the likelihood of successful detection of the desired detection feature, thereby further facilitating accurate determination of fetal growth and development. Each of them will be described in detail below.

Example 1

Please refer to FIG. 1 . FIG. 1 is a schematic flowchart of a method for outputting a detection result of a fetal ultrasound image disclosed in an embodiment of the present invention. Wherein, the output control method of the detection result of the fetal ultrasound image described in FIG. 1 can be applied to an intelligent detection system (intelligent detection device/intelligent detection server, wherein the intelligent detection server may include a local intelligent detection server or a cloud intelligent detection server, The embodiments of the present invention are not limited). As shown in FIG. 1 , the output control method of the detection result of the fetal ultrasound image may include the following operations:

101. The intelligent detection system inputs the received fetal ultrasound image into the determined image analysis model for analysis, and obtains the analysis result output by the image analysis model as the detection result of the fetal ultrasound image.

In this embodiment of the present invention, optionally, the fetal ultrasound image may be an image sent from a physical terminal device and/or a virtual terminal device that establishes a communication connection with the intelligent detection system. Wherein, the physical terminal device may include an ultrasonic image acquisition device, and other terminal devices having a communication connection with the ultrasonic image acquisition device, such as a computer. The virtual terminal device may be a network disk and/or a cloud service terminal device, or the like. Further, the physical terminal device may also include a pluggable storage device, such as a USB flash drive. Further, the fetal ultrasound image may be a real-time image or a non-real-time image. When the fetal ultrasound image is a real-time image, the physical terminal device preferably is an ultrasound image acquisition device.

In this embodiment of the present invention, optionally, the detection result of the fetal ultrasound image includes detection results of multiple features of the fetal ultrasound image. Further optionally, the detection result of the fetal ultrasound image may be a real-time analysis result of the fetal ultrasound image, or may be an analysis result output after the analysis of the fetal ultrasound image is completed. Still further optionally, the multiple features of the fetal ultrasound image include multiple structural features and/or multiple standard slices of the fetal ultrasound image. Still further, the multiple features of the fetal ultrasound image may also include multiple location features. In this way, by outputting the detection results of structural features, slices and part features, more accurate ultrasound image detection results can be obtained, so as to more accurately know the growth and development of the fetus.

In the embodiment of the present invention, optionally, the detection result of each feature includes a detection identifier of the feature, and the detection identifier corresponding to each feature is used to indicate that the feature is a feature to be detected, a detected and normal feature, a detected and suspected feature One of the signatures and detected and abnormal signatures. Among them, the detected and suspected features are features that have been detected and are of uncertain category, and the detected and abnormal features are features that have been detected and have abnormal structural features. Specifically, when all the features included in the fetal ultrasound image are multiple structural features of the fetal ultrasound image, the detected and suspected features are detected and their confidence (also known as the probability of a feature category) is less than or equal to a preset confidence threshold And/or a feature that matches the determined suspected feature, a detected and abnormal feature is a feature that has been detected and has an abnormality. For example, if the structural feature of A is the structural feature of the midline sac, and the structural feature of the midline sac is not accompanied by other structural features (for example, the structural feature of the thalamus, etc.), the structural feature of A is a suspected midline sac structural feature. When all the features included in the fetal ultrasound image are multiple standard slices of the fetal ultrasound image, the detected and suspected features are features that include key structural features that match the feature and do not include other structural features, and the detected and abnormal features are features that have been Features that are detected and present with abnormal structural features. For example: if the B standard view includes the structural features of the gastric bleb and the umbilical vein, the B standard view is the standard view of the suspected abdominal circumference; if the B standard view includes the structural features of the gastric bleb and the umbilical vein, it also includes the liver and descending aorta. , ribs, inferior vena cava and other structural features, the B standard section is the normal abdominal circumference standard section; if the B standard section includes the structural features of abnormal gastric vesicles, the B standard section is the abnormal abdominal circumference standard section. Further optionally, different detection results of the same feature correspond to different detection identifiers. Wherein, the detection mark may include at least one of a graphic mark, a text mark, and a pattern mark. For example: when the detection result of the C structure feature is a normal gastric vesicle structure feature, the detection mark of the C structure feature is a green box; when the detection result of the C structure feature is an undetected structure feature, the detection mark of the C structure feature is gray Box, when the detection result of the C structure feature is a suspected gastric vesicle structure feature, the detection mark of the C structure feature is a yellow box, and when the detection result of the C structure feature is an abnormal gastric vesicle structure feature, the detection mark of the C structure feature It is a red box, and the box is used to frame the C structure feature. In this way, by labeling different detection results of the same feature with different detection marks, the detection results of the corresponding features can be accurately and intuitively known, so as to know the fetal growth and development, such as abnormal development, normal development, unknown development, etc.

In this embodiment of the present invention, the image analysis model may include at least one of a determined target analysis model, an instance segmentation model, and a semantic segmentation model that can analyze fetal ultrasound images, which is not limited in this embodiment of the present invention.

102. The intelligent detection system controls the output terminal corresponding to the intelligent detection system to output the above detection result.

In the embodiment of the present invention, optionally, the output terminal corresponding to the intelligent detection system includes an output terminal integrated with the intelligent detection system and/or an output terminal independent of the intelligent detection system that has a communication connection with the intelligent detection system. Further optionally, the output terminal includes a display terminal and/or a voice terminal, preferably a display terminal with a voice function.

In the embodiment of the present invention, the output interface of the output terminal includes a first area and a second area, the first area is used for outputting the above-mentioned detection result, and the second area is used for outputting a list of features to be checked and a list of checked features corresponding to the fetal ultrasound image , the feature list to be checked is used to store a plurality of features to be checked of the determined fetal ultrasound image, the checked feature list is used to store a plurality of checked features of the fetal ultrasound image, and all features to be checked included in the feature list to be checked The categories of the checked features include all the checked feature categories included in the checked feature list, and the multiple feature categories included in the fetal ultrasound image include all the unchecked feature categories included in the unchecked feature list. Further, when the to-be-checked feature corresponding to a certain to-be-checked feature category in the to-be-checked feature list has been detected, the certain to-be-checked feature category can be cleared from the to-be-checked feature list. It should be noted that the above detection result also includes a list of features to be checked and a list of checked features corresponding to the fetal ultrasound image. Still further, the output interface of the output terminal is provided with a side navigation bar, and the side navigation bar includes a list of features to be detected and/or a list of features that have been checked, and further, the side navigation bar also includes the retention of checked features, Wherein, the retention of the checked feature is used to indicate that when the checked feature needs to be output, the output terminal is controlled to output the checked feature, and when the checked feature does not need to be output, the checked feature is hidden. In this way, by controlling the output terminal to output the feature or hide the feature according to the situation that the feature needs to be output, it can improve the output flexibility of the feature and reduce the occurrence of feature distinction errors or even indistinguishability due to too many output contents on the output interface of the output terminal. Still further, different detection items correspond to different side navigation bars, wherein the detection items include at least one of middle-late pregnancy test, early pregnancy test and gynecological test. When a test item needs to be detected, change to The corresponding side navigation bar.

In an optional embodiment, the output control method of the detection result of the fetal ultrasound image may further include the following operations:

When it is determined that all the features included in the fetal ultrasound image have at least one key detection feature, the intelligent detection system controls the output terminal to output a schematic diagram of a section corresponding to each key detection feature, and the schematic section diagram corresponding to each key detection feature includes the key detection feature The output identification of each structural feature in the corresponding standard section;

The intelligent detection system determines the detection situation of the structural feature corresponding to the output mark according to the change of each output mark included in the schematic section diagram corresponding to each key detection feature;

Wherein, for any key detection feature, when the change of each output flag included in the schematic section diagram corresponding to the key detection feature is used to indicate that the output flag changes from the first state to the second state, the structure corresponding to each output flag The detection status of the feature is used to indicate that the structural feature is detected in the corresponding standard section.

In this optional embodiment, the target information of each feature included in the fetal ultrasound image includes at least one of the category of the feature, the position of the fetus corresponding to the feature in the fetal ultrasound image, and the complexity of the feature. The intelligent detection system determines whether there is a determined key detection feature in all the features, specifically: when it is determined that the category of at least one feature of all the features included in the fetal ultrasound image is the determined category of the key detection feature, and/or, When it is determined that the position in the fetal ultrasound image of at least one of all the features included in the fetal ultrasound image is the determined key position (for example, the heart), and/or, when it is determined that at least one of all the features included in the fetal ultrasound image is located When the complexity level of a feature is greater than or equal to the determined complexity level threshold, it is determined that all features included in the fetal ultrasound image have at least one key detection feature. In this way, it can be determined that there are key detection features in all the features included in the fetal ultrasound image by various methods such as the type of the feature, the position of the fetus corresponding to the fetal ultrasound image and/or the complexity of the feature, etc., which can improve all the features included in the fetal ultrasound image. The determination efficiency and accuracy of key detection features exist in the graph, so as to improve the output accuracy and self-confidence rate of the corresponding cross-sectional schematic diagram, and thus facilitate the relevant personnel to intuitively know the key detection features.

In this optional embodiment, the key detection features include features whose importance level is greater than or equal to the determined importance level (for example, level 3, the higher the level, the more important) and/or the number of structural features contained in the standard section. Features greater than or equal to the number of structural features identified (for example: 5).

In this optional embodiment, the key detection features may include key structural features and/or key standard slices. Further, when the output flag changes from the first state to the second state, the second state can be maintained, so that it can be clearly distinguished whether the structural feature corresponding to the output flag is detected, thereby improving the accuracy of the detection of key structural features. sex, thereby further improving the accuracy of determining fetal growth and development.

In this optional embodiment, when it is determined that all the features included in the fetal ultrasound image do not have key detection features, the intelligent detection system directly ends this process.

It can be seen that this optional embodiment determines whether there is a key detection feature in all the features included in the fetal ultrasound image, and if so, outputs a schematic diagram of the section corresponding to the key detection feature, which is conducive to clearly determining that all structural features included in the corresponding standard section are detected. and reduce the occurrence of the situation where it is impossible to clearly confirm whether the structural features required to be detected for the standard section have been detected due to too many structural features included in the section, and to facilitate the relevant personnel to know the feature detection of important detection features. It is beneficial to improve the accuracy of determining the growth and development of the fetus.

In another optional embodiment, all the features included in the above-mentioned fetal ultrasound image include multiple structural features of the fetal ultrasound image, the detection result of each feature further includes a feature parameter of the feature, and the feature parameter of each feature includes the Class information for the feature. And, after performing step 101, the output control method of the detection result of the fetal ultrasound image may further include the following operations:

The intelligent detection system determines the part feature of the fetal ultrasound image in the frame where each structural feature included in the fetal ultrasound image is located, and determines the feature parameter of each part feature, and the feature parameter of each part feature includes the category information of the part feature;

The intelligent detection system determines the standard section of each feature according to the category information of each feature and the category information of the part feature corresponding to the feature, and the detection result of each feature also includes the detection result of the standard section of the feature.

It can be seen that this optional embodiment can improve the accuracy and reliability of determining the standard section of the fetus by determining the standard section of the structural feature according to the category information of the structural feature and the category information of the part feature of the fetal ultrasound image in the frame, thereby improving the accuracy and reliability of the determination of the standard section of the fetus. Further improve the accuracy and reliability of the detection results of fetal ultrasound images.

In yet another optional embodiment, after step 101 is performed, the output control method for the detection result of the fetal ultrasound image may further include the following operations:

The intelligent detection system judges whether there are abnormal features in all the features included in the fetal ultrasound image, and when the judgment result is yes, screen all the abnormal features from all the features included in the fetal ultrasound image;

The intelligent detection system sorts all abnormal features according to the determined sorting method, obtains all sorted abnormal features, and controls the output terminal to output all sorted abnormal features.

In this optional embodiment, the abnormal features may include abnormal structural features and/or abnormal standard slices.

In this optional embodiment, the determined sorting method includes at least one of feature importance, feature appearance duration, and feature appearance times, wherein, the higher the feature importance of a feature, the higher the feature importance of the fetal ultrasound image. The more abnormal the fetal growth and development; the duration of the characteristic appearance includes the duration of a single occurrence or the total duration of the total number of occurrences. In this way, by improving a variety of sorting methods, the sorting accuracy of abnormal features can be improved, thereby further improving the accuracy of the relevant personnel clearly knowing the growth and development of the fetus.

In this optional embodiment, when it is determined that there is a determined feature that does not match its normal features among all the features of the fetal ultrasound image, the intelligent detection system determines that there are abnormal features in all the features included in the fetal ultrasound image, and the fetal ultrasound image has abnormal features. Abnormal features of an image include features that do not match their normal features.

In this optional embodiment, the intelligent detection system determines whether there are abnormal features in all the features included in the fetal ultrasound image, which may include:

When all the features included in the fetal ultrasound image are standard slices, the intelligent detection system acquires the information of each structural feature of each standard slice included in the fetal ultrasound image, and the information of each structural feature is used to determine the standard slice where the structural feature is located Whether it is an abnormal standard section;

According to the information of each structural feature of each standard section, the intelligent detection system judges whether each structural feature matches the standard section where it is located;

When judging that there are non-matching structural features in all structural features that do not match the standard section, the intelligent detection system determines that there are abnormal standard sections whose structural features are abnormal structural features in all standard sections, and the abnormal standard section is a non-matching structure Abnormal features are present in the standard view on which the feature is located, that is, all features included in the fetal ultrasound image.

It can be seen that in this optional embodiment, by acquiring information about each structural feature of the standard slice, and judging whether each structural feature matches the corresponding standard slice according to the information of each structural feature, it is possible to realize the detection of abnormal features in the fetal ultrasound image. Sure.

In another optional embodiment, according to the information of each structural feature of each standard section, judging whether each structural feature matches the standard section where it is located may include:

According to the information of each structural feature of each standard section, determine the representation type corresponding to each structural feature, the representation type includes numerical representation type and/or feature morphological representation type, and the information of each structural feature includes the feature of the structural feature category;

When the representation type of the structural feature is a numerical representation type, obtain the target geometric parameter value corresponding to the structural feature, and judge whether the target geometric parameter value corresponding to the structural feature is within the predetermined normal parameter value range, and when the judgment result is no When , it is determined that the structural feature does not match the standard section where it is located;

When the representation type of the structural feature is the feature morphological representation type, it is determined whether the structural feature is located in the detection area of the part feature corresponding to the structural feature. match.

In this optional embodiment, the detection area of each part feature can be selected by a detection frame, such as a polygon frame or an oval frame.

In this optional embodiment, the target geometric parameter value corresponding to each structural feature includes the transverse diameter corresponding to the structural feature and/or the perimeter corresponding to the structural feature, so that the more content the geometric parameter value includes, the more beneficial it is Improve the judgment accuracy that the structural features match the standard section where they are located. Wherein, different structural features have corresponding normal parameter value ranges, wherein the normal parameter value ranges corresponding to different structural features may be the same or different. Further, different geometric parameter values of the same structural feature correspond to different normal parameter value ranges. Still further, the geometric parameter values corresponding to each structural feature may include proportional dimensions and/or actual dimensions. Specifically, after judging that the proportional size corresponding to the structural feature is within the predetermined normal parameter value range, the actual size corresponding to the structural feature is further obtained, and it is judged whether the actual size is within the predetermined normal size range. When the judgment result is no, it is determined that the structural feature does not match the standard section where it is located. In this way, by simultaneously comparing the proportional size and actual size of the structural feature with their respective normal values, the accuracy of determining whether the structural feature matches the standard section where it is located can be improved, thereby reducing the error correction of the section score of the abnormal standard section. If the situation occurs, improve the accuracy and reliability of the correction of the section score of the abnormal standard section.

In this optional embodiment, when it is judged that the structural feature is located in the detection area of the part feature corresponding to the structural feature, it is judged whether the structural feature exists in all multiple frames of fetal ultrasound images, and when the judgment result is yes, the structural feature is determined The feature does not match the standard slice it is in. The multiple frames of fetal ultrasound images may be fetal ultrasound images that appear continuously or intermittently after the first frame of fetal ultrasound images with structural features as the first frame of fetal ultrasound images. In this way, when it is judged that the structural feature is in the detection area of the corresponding part feature, it is further judged whether there are multiple frames of fetal ultrasound images with the structural feature. The accuracy of determining whether the feature matches the standard slice where it is located can reduce the occurrence of incorrect correction of the slice score of the abnormal standard slice, and improve the accuracy and reliability of the correction of the slice score of the abnormal standard slice.

It can be seen that in this optional embodiment, when judging that the fetal ultrasound image has structural features, it can determine whether the structural features match the standard section where the structural features are located by using the obtained geometric parameter values of the structural features, or whether the structural features are located in the corresponding In the detection area of the part feature, to realize the judgment of whether the structural feature matches the standard section where it is located, it can improve the possibility, accuracy and efficiency of determining whether the structural feature matches the standard section where it is located.

In this optional embodiment, all sorted abnormal features may be located in the aforementioned unchecked feature list, or may be located in the aforementioned checked feature list, and a new abnormal feature list may be created for all abnormal features, that is, the sorted feature list. Anomalous features are in the list of unusual features. Further, whether in the unchecked feature list or the checked feature list, all the sorted abnormal features can be sorted at the front position in the corresponding list. In this way, by placing the abnormal features at the front of the list, it is helpful for the relevant personnel to know the abnormal features of the fetal ultrasound images more clearly and quickly, so as to further quickly and clearly know that the abnormal growth and development of the fetus has occurred.

In this optional embodiment, when it is determined that there is no abnormal feature among all the features included in the fetal ultrasound image, the process ends.

In this optional embodiment, the detection result in step 102 may also include all sorted abnormal features, that is, the action of the intelligent detection system controlling the output terminal to output all sorted abnormal features may occur simultaneously with step 102 .

It can be seen that, in this optional embodiment, after detecting that all the features in the fetal ultrasound image have abnormal features, all the abnormal features are further sorted, and the sorted abnormal features are output, which is helpful for the relevant personnel to quickly know the status of the fetal ultrasound image. Abnormal characteristics of the situation, so as to further quickly and clearly know that the growth and development of the fetus is abnormal.

In yet another optional embodiment, the output control method for the detection result of the fetal ultrasound image may further include the following operations:

The intelligent detection system judges whether all the features to be checked in the above-mentioned list of features to be checked have features that have been detected, and when the judgment result is yes, the output terminal is controlled to output prompt information to the relevant personnel.

In this optional embodiment, it should be noted that the prompt information may be output only after all the features to be checked in the feature list to be checked have been detected, which is not limited in this optional embodiment.

In this optional embodiment, the output mode of the prompt information includes a graphic display output mode and/or a voice output mode (for example, a "ding" sound, the detection of the abdominal girth section is completed, etc.), and the detection result of the above-mentioned features includes the prompt information .

It can be seen that this optional embodiment automatically outputs prompt information to the relevant personnel after the detection of the features to be inspected is completed, without the need for the relevant personnel to supervise in real time which features have been detected and which have not been detected, so that the relevant personnel can quickly, clearly and accurately know the features. completion of the detection.

It can be seen that the output control method for the detection result of the fetal ultrasound image described in FIG. 1 can quickly obtain accurate information of each feature (eg, structural feature, section) of the fetal ultrasound image by automatically analyzing the fetal ultrasound image. The detection results, such as: abnormal, normal, suspected, checked, and unchecked, help to accurately determine the growth and development of the fetus; and by identifying each feature of the fetal ultrasound image, it can reduce the occurrence of missed feature detection, In order to improve the probability of successful detection of the desired detection features, it is further beneficial to accurately determine the growth and development of the fetus.

Embodiment 2

Please refer to FIG. 2 . FIG. 2 is a schematic flowchart of another method for controlling the output of detection results of fetal ultrasound images disclosed in an embodiment of the present invention. Wherein, the output control method of the detection result of the fetal ultrasound image described in FIG. 2 can be applied to an intelligent detection system (intelligent detection device/intelligent detection server, wherein the intelligent detection server can include a local intelligent detection server or a cloud intelligent detection server, The embodiments of the present invention are not limited). As shown in FIG. 2 , the output control method of the detection result of the fetal ultrasound image may include the following operations:

201. The intelligent detection system inputs the received fetal ultrasound image into the determined image analysis model for analysis, and obtains the analysis result output by the image analysis model as the detection result of the fetal ultrasound image.

202. The intelligent detection system determines whether a playback request triggered by a fetal ultrasound image corresponding to a certain target feature category is detected. When the judgment result is yes, the execution of step 203 is triggered; when the judgment result is no, the current process can be ended, and the execution of step 205 can be triggered.

In this embodiment of the present invention, the playback request is used to request playback of a fetal ultrasound image corresponding to a target feature category, and the fetal ultrasound image corresponding to the target feature category includes an optimal frame fetal ultrasound image corresponding to the target feature category, and the target feature category corresponds to the fetal ultrasound image. At least one of fetal ultrasound images of all standard slices of the target feature category, and fetal ultrasound images of all chapters corresponding to the target feature category, the above-mentioned fetal ultrasound images include fetal ultrasound images corresponding to the target feature category, and each fetal ultrasound image included in each chapter. The categories of the standard slices of the image are the same, and the target feature category includes the target structure feature category and/or the target standard section category.

In this embodiment of the present invention, if the number of target feature categories is greater than or equal to 1, it is possible to request playback of more than two types of fetal ultrasound images at one time, for example: the optimal frame fetal ultrasound image corresponding to the standard abdominal circumference view and the fetal ultrasound image corresponding to the standard view of the thalamus Optimal frame fetal ultrasound image.

In the embodiment of the present invention, when the sound pickup device of the intelligent detection system collects keywords (for example: abdominal circumference) for the target feature category, it is determined that a playback request triggered by the fetal ultrasound image corresponding to the target feature category is detected; when the intelligent detection The display device of the system receives the keyword (for example: abdominal circumference) for the target feature category, and determines that a playback request triggered by the fetal ultrasound image corresponding to the target feature category is detected; when the intelligent detection system receives and establishes a connection with the intelligent detection system The keyword (eg, abdominal circumference) for the target feature category sent by the communicating terminal device (eg, computer, mobile phone) determines that a playback request triggered by the fetal ultrasound image corresponding to the target feature category is detected. Further, a playback request posture (eg: gesture) of the fetal ultrasound image corresponding to a plurality of feature categories is preset. At this time, when the display device of the intelligent detection system receives the gesture for the target feature category, it is determined that the target feature is detected. The playback request triggered by the fetal ultrasound image corresponding to the category. In this way, by providing a variety of detection methods for the playback of fetal ultrasound images corresponding to structural features and/or standard slices, it is possible to improve the detection possibility of the request for playback of fetal ultrasound images corresponding to structural features and/or standard slices, thereby improving structural features and/or standard slices. Or the probability of playback of fetal ultrasound images corresponding to standard slices. Still further, the optimal frame fetal ultrasound images corresponding to each target feature category, the fetal ultrasound images of all standard slices corresponding to the target feature category, and the playback request gestures of the fetal ultrasound images of all chapters corresponding to the target feature category are also all displayed. In this way, by setting different playback request gestures for images of the same structural feature category and different standard slice categories, it is possible to further improve the playback accuracy and efficiency of fetal ultrasound images corresponding to structural features and/or standard slices.

203. The intelligent detection system determines the fetal ultrasound image corresponding to the target feature category according to the playback request.

204. The intelligent detection system controls the output terminal to play back the fetal ultrasound image corresponding to the target feature category.

In the embodiment of the present invention, when the fetal ultrasound images corresponding to the target feature category are fetal ultrasound images of all standard slices corresponding to the target feature category, the intelligent detection system can play back fetal ultrasound images of all standard slices corresponding to the target feature category frame by frame ; When the fetal ultrasound images corresponding to the target feature category are fetal ultrasound images of all chapters corresponding to the target feature category, the intelligent detection system can play back the fetal ultrasound images of all chapters corresponding to the target feature category chapter by chapter. When the fetal ultrasound image corresponding to the target feature category is the optimal frame fetal ultrasound image corresponding to the target feature category, the intelligent detection system can directly play back the optimal frame fetal ultrasound image corresponding to the target feature category, or it can play frame by frame or chapter by chapter. After playing back the fetal ultrasound image corresponding to the target feature category, the intelligent detection system plays back the optimal frame fetal ultrasound image corresponding to the target feature category. In this way, by playing back the fetal ultrasound images frame by frame or chapter by chapter, it is helpful for the relevant personnel to clearly know the growth and development of the fetus through the fetal ultrasound images; After the ultrasound image, the optimal frame of fetal ultrasound image is positioned and played back, which enriches the playback mode of the optimal frame of fetal ultrasound image while ensuring the playback efficiency of the optimal frame of fetal ultrasound image.

It can be seen that after obtaining the detection result of the fetal ultrasound image, the embodiment of the present invention further determines whether a playback request for a fetal ultrasound image of a certain target feature category is detected, and if detected, the output terminal is controlled to play back the fetal ultrasound image of the target feature category. , which can facilitate the relevant personnel to review the fetal ultrasound images, especially when the fetal growth and development corresponding to the fetal ultrasound images are abnormal, playback of the fetal ultrasound images helps to accurately determine the abnormal fetal growth and development.

205. The intelligent detection system controls the output terminal corresponding to the intelligent detection system to output the detection result.

It should be noted that, since the detection result of the fetal ultrasound image is the real-time analysis result of the fetal ultrasound image or the analysis result after the analysis of the fetal ultrasound image (for a specific description, please refer to the relevant description in Embodiment 1), the target feature category corresponds to The playback request triggered by the fetal ultrasound image can be triggered in real time or when the fetal ultrasound image analysis is completed, that is, the fetal ultrasound image corresponding to the target feature category can be real-time or the target feature category in the final fetal ultrasound image in the fetal ultrasound image. Ultrasound image.

It should be further noted that step 204 and step 205 may occur simultaneously, that is, the detection result in step 205 may also include the optimal frame fetal ultrasound image corresponding to a certain target feature category. It should be further noted that, step 202 may also occur after step 205 . When step 202 occurs at the same time as step 205, step 204 occurs after step 205.

In this embodiment of the present invention, for other descriptions of step 201 and step 205, please refer to the detailed description of step 101 to step 102 in Embodiment 1, which is not repeated in this embodiment of the present invention.

As an optional implementation manner, the intelligent detection system determines the fetal ultrasound image corresponding to the target feature category according to the playback request, including:

When the fetal ultrasound image corresponding to the target feature category is the optimal frame fetal ultrasound image corresponding to the target feature category, the intelligent detection system determines the section score of each standard section in all standard sections corresponding to the target feature category, and according to the target feature category The slice score of each standard slice in all standard slices corresponding to the category, and the frame fetal ultrasound image corresponding to the standard slice corresponding to the highest slice score is determined from all the standard slices as the optimal frame fetal ultrasound corresponding to the target feature category image.

In this optional embodiment, further optionally, based on the weight value corresponding to each structural feature of each standard cut plane and the characteristic parameter of the structural feature, the cut surface score of each standard cut surface is calculated, specifically: based on determining The weight value corresponding to each structural feature of each standard section, the category probability of the structural feature, and the position probability of the structural feature are calculated, and the structural score corresponding to each structural feature of each standard section is calculated; The sum of the structural scores corresponding to all the structural features of the section is taken as the section score of the standard section. Among them, each standard slice corresponds to a frame of fetal ultrasound image. The weight value corresponding to each structural feature of each standard section is used to represent the expression level of the structural feature in the standard section. The higher the weight value corresponding to the structural feature, the higher the corresponding expression level, that is, the structural feature is in The proportion of the corresponding standard section is higher.

In this optional implementation manner, the feature parameter of each structural feature of each standard slice includes the class probability of the structural feature and the position probability of the structural feature.

In this optional embodiment, the calculation formula of the slice score of the standard slice of each frame of fetal ultrasound image is as follows:

H _i =P _i ×Q _i ×O _i ;

In the formula, S is the section score of each standard section, H _i is the structural score of the i-th structural feature in each standard section, M is the total number of structural features in each standard section, and P _i is each The class probability (also known as confidence) of the ith structural feature in the standard section, Q _i is the position probability of the ith structural feature in each standard section, O _i is the weight of the ith structural feature in each standard section value, N is the total number of key weight value influencing factors of the ith structural feature, O _ij is the sub-weight value corresponding to the jth key weight value influencing factor in the ith structural feature in each standard section.

In this optional embodiment, further, the parameters included in the structural feature in each standard section also include the probability of the position where the structural feature is located. In this case, the structural score of the i-th structural feature in each standard section is The calculation formula is:

H _i =P _i ×Q _i ×O _i ×C _i ;

In the formula, C _i is the parameter included in the structural feature in each standard section, and also includes the probability of the position where the structural feature is located. In this way, the more parameters of the structural feature, the more accurate the calculation of the structural score of the structural feature will be, the more accurate the calculation of the sectional score of the standard section will be, and the more accurate and reliable the determination of the optimal standard section will be. .

In this way, by separately calculating the structural score corresponding to each structural feature of the standard cut surface, the calculation of the cut surface score of the standard cut surface can be realized, which is beneficial to improve the accuracy and efficiency of the calculation of the cut surface score of the standard cut surface; and according to different structural characteristics, Selecting different parameters can improve the calculation accuracy and efficiency of the structural score corresponding to the structural feature, thereby further improving the calculation accuracy and efficiency of the section score of the standard section.

It can be seen that this optional embodiment can improve the accuracy and efficiency of determining the optimal frame fetal ultrasound image by using the frame fetal ultrasound image corresponding to the standard slice corresponding to the highest slice score as the optimal frame fetal ultrasound image, thereby improving the accuracy and efficiency of determining the optimal frame fetal ultrasound image. Improve the output accuracy and efficiency of optimal frame fetal ultrasound images.

In an optional embodiment, the intelligent detection system determines the frame corresponding to the standard slice corresponding to the highest slice score from all the standard slices according to the slice score of each standard slice in all standard slices corresponding to the target feature category Before taking the fetal ultrasound image as the optimal frame fetal ultrasound image corresponding to the target feature category, the output control method for the detection result of the fetal ultrasound image may further include the following operations:

When the target feature category is the target structure feature category, the intelligent detection system determines whether the target feature category corresponds to at least two matching feature categories, and the at least two matching feature categories include at least two matching standard section categories or at least two matching chapter categories;

When the judgment result is no, the intelligent detection system triggers the execution of the above-mentioned slice score of each standard slice in all standard slices corresponding to the target feature category, and determines the standard slice corresponding to the highest slice score from all the standard slices. The frame fetal ultrasound image is used as the operation of the optimal frame fetal ultrasound image corresponding to the target feature category;

When the judgment result is yes, the intelligent detection system determines the section score of each standard section in all standard sections corresponding to each matching feature category corresponding to the target feature category, and determines the section score of each standard section corresponding to each matching feature category according to the score of each standard section corresponding to each matching feature category Slice score, screen the fetal ultrasound image frame corresponding to the highest slice score from all the standard slices, and determine the fetal ultrasound image frame corresponding to all matching feature categories as the optimal frame fetal ultrasound image corresponding to the target feature category. The number of optimal frame fetal ultrasound images corresponding to the feature category is greater than one.

For example, it is necessary to determine the optimal frame of fetal ultrasound images corresponding to the structural features of gastric vesicles. Since the standard slices corresponding to the structural characteristics of gastric vesicles include standard abdominal girth slices and gallbladder-umbilical vein slices, the optimal frame of fetal ultrasound images corresponding to the structural characteristics of gastric vesicles is required. The ultrasound images include the optimal frame fetal ultrasound image corresponding to the standard abdominal girth section and the optimal frame fetal ultrasound image corresponding to the gallbladder-umbilical vein section, that is, the number of optimal frame fetal ultrasound images corresponding to the structural features of the gastric bubble is 2.

It can be seen that this optional embodiment first determines whether there are multiple standard slice categories and/or chapter categories corresponding to the structural feature, and if not, directly determines the optimal frame fetal ultrasound image corresponding to the structural feature, which can Improve the efficiency and accuracy of determining the optimal frame fetal ultrasound image corresponding to the structural feature; if so, determine the optimal frame fetal ultrasound image corresponding to different standard slice categories and/or chapter categories, thereby further improving the optimal frame fetal ultrasound image. accuracy of determination.

It can be seen that, implementing the output control method for the detection result of the fetal ultrasound image described in FIG. 2 can quickly obtain accurate information of each feature (eg, structural feature, section) of the fetal ultrasound image by automatically analyzing the fetal ultrasound image. The detection results, such as: abnormal, normal, suspected, checked, and unchecked, help to accurately determine the growth and development of the fetus; and by identifying each feature of the fetal ultrasound image, it can reduce the occurrence of missed feature detection, In order to improve the probability of successful detection of the desired detection features, it is further beneficial to accurately determine the growth and development of the fetus.

Embodiment 3

Please refer to FIG. 3 . FIG. 3 is a schematic structural diagram of a device for outputting a detection result of a fetal ultrasound image according to an embodiment of the present invention. Wherein, the output control device of the detection result of the fetal ultrasound image described in FIG. 3 can be applied to an intelligent detection system (intelligent detection device/intelligent detection server, wherein the intelligent detection server can include a local intelligent detection server or a cloud intelligent detection server, The embodiments of the present invention are not limited). As shown in FIG. 3 , the output control device for the detection result of the fetal ultrasound image may include an analysis module 301, an acquisition module 302 and a control module 303, wherein:

The analysis module 301 is configured to input the received fetal ultrasound image into the determined image analysis model for analysis.

The obtaining module 302 is configured to obtain the analysis result output by the image analysis model as the detection result of the fetal ultrasound image.

The control module 303 is configured to control the output terminal corresponding to the intelligent detection system to output the detection result.

In this embodiment of the present invention, the detection result of the fetal ultrasound image includes the detection result of multiple features of the fetal ultrasound image, the detection result of each feature includes the detection identifier of the feature, and the detection identifier corresponding to each feature is used to indicate that the feature is One of the features to be checked, checked and normal features, checked and suspected features, and checked and abnormal features. The checked and suspected features are features that have been detected and are of uncertain category, and the checked and abnormal features are features that have been detected. Features that are detected and present with abnormal structural features.

In the embodiment of the present invention, further optionally, the output interface of the output terminal includes a first area and a second area, the first area is used for outputting detection results, and the second area is used for outputting a list of features to be checked corresponding to the fetal ultrasound image and a second area. Checked feature list, to-be-checked feature list is used to store a plurality of unchecked features of the determined fetal ultrasound image, checked feature list is used to store multiple checked features of the fetal ultrasound image, and the to-be-checked feature list includes The categories of all features to be checked include the categories of all features to be checked included in the checked feature list, and the categories of multiple features included in the fetal ultrasound image include the categories of all features to be checked included in the feature list to be checked.

It can be seen that the output control device for implementing the detection result of the fetal ultrasound image described in FIG. 3 can quickly obtain accurate information of each feature (eg, structural feature, section) of the fetal ultrasound image by automatically analyzing the fetal ultrasound image. The detection results, such as: abnormal, normal, suspected, checked, and unchecked, help to accurately determine the growth and development of the fetus; and by identifying each feature of the fetal ultrasound image, it can reduce the occurrence of missed feature detection, In order to improve the probability of successful detection of the desired detection features, it is further beneficial to accurately determine the growth and development of the fetus.

In an optional embodiment, as shown in FIG. 4 , the apparatus further includes a first determination module 304 and a first determination module 305, wherein:

The first judging module 304 is configured to judge, according to the target information of all the features included in the fetal ultrasound image, whether there is a determined key detection feature in all the features.

The control module 303 is further configured to control the output terminal to output a schematic section diagram corresponding to each key detection feature when the first determination module 304 determines that all the features included in the fetal ultrasound image have at least one key detection feature, and each key detection feature The corresponding section schematic diagram includes the output identification of each structural feature in the standard section corresponding to the key detection feature.

The first determination module 305 is configured to determine the detection status of the structural feature corresponding to the output marker according to the change of each output marker included in the schematic sectional view corresponding to each key detection feature.

It can be seen that the output control device implementing the detection result of the fetal ultrasound image described in FIG. 4 determines whether there is a key detection feature in all the features included in the fetal ultrasound image, and if so, outputs a schematic diagram of the section corresponding to the key detection feature, which is conducive to clear determination. All structural features included in the corresponding standard section are detected, and the occurrence of the situation where it is impossible to clearly confirm whether the structural features required to be detected in the standard section due to too many structural features included in the section is reduced, and it is convenient for the relevant personnel to know the important The feature detection situation of the detection feature is further beneficial to improve the accuracy of determining the growth and development situation of the fetus.

In another optional embodiment, all the features included in the above-mentioned fetal ultrasound image include multiple structural features of the fetal ultrasound image, the detection result of each feature further includes a feature parameter of the feature, and the feature parameter of each feature includes the Class information for the feature. And as shown in FIG. 4 , the apparatus further includes a second determination module 306, wherein:

The obtaining module 302 is further configured to, after obtaining the analysis result output by the image analysis model as the detection result of the fetal ultrasound image, determine the part feature of the fetal ultrasound image of the frame where each structural feature included in the fetal ultrasound image is located.

The second determination module 306 is configured to determine a feature parameter of each part feature, where the feature parameter of each part feature includes category information of the part feature.

The second determination module 306 is further configured to determine the standard section of each feature according to the category information of each feature and the category information of the part feature corresponding to the feature, and the detection result of each feature also includes the detection of the standard section of the feature result.

It can be seen that the output control device for implementing the detection result of the fetal ultrasound image described in FIG. 4 can improve the standard of the fetus by determining the standard section of the structural feature according to the category information of the structural feature and the category information of the part feature of the fetal ultrasound image in the frame. The accuracy and reliability of the determination of the slice are further improved, thereby further improving the accuracy and reliability of the detection results of fetal ultrasound images.

In yet another optional embodiment, as shown in FIG. 5 , the apparatus may further include a second determination module 307 and a third determination module 308, wherein:

The second judgment module 307 is configured to, after the acquisition module 302 acquires the analysis result output by the image analysis model as the detection result of the fetal ultrasound image, determine whether a playback request triggered by the fetal ultrasound image corresponding to a certain target feature category is detected, The playback request is used to request playback of a fetal ultrasound image corresponding to a target feature category, and the fetal ultrasound image corresponding to the target feature category includes the optimal frame fetal ultrasound image corresponding to the target feature category, and fetal ultrasound images of all standard slices corresponding to the target feature category Image, at least one of the fetal ultrasound images of all chapters corresponding to the target feature category, the fetal ultrasound image includes the fetal ultrasound image corresponding to the target feature category, the target feature category includes the target structural feature category and/or the target standard slice category, each The chapters include the same categories of standard views for each fetal ultrasound image.

The third determination module 308 is configured to determine the fetal ultrasound image corresponding to the target feature category according to the playback request when the determination result of the second determination module 307 is yes.

The control module 303 is further configured to control the output terminal to play back the fetal ultrasound image corresponding to the target feature category.

It can be seen that the output control device implementing the detection result of the fetal ultrasound image described in FIG. 4 further determines whether a playback request for a fetal ultrasound image of a certain target feature category is detected after obtaining the detection result of the fetal ultrasound image. , control the output terminal to play back the fetal ultrasound images of the target feature category, which can facilitate the relevant personnel to review the fetal ultrasound images, especially when the fetal growth and development corresponding to the stored fetal ultrasound images are abnormal. Identify abnormalities in fetal growth and development.

In yet another optional embodiment, as shown in FIG. 4 , the third determination module 308 may include a determination sub-module 3081, wherein:

The determining submodule 3081 is configured to determine the slice score of each standard slice in all standard slices corresponding to the target characteristic type when the fetal ultrasound image corresponding to the target characteristic type is the optimal frame fetal ultrasonic image corresponding to the target characteristic type.

The determination sub-module 3081 is further configured to determine, from all the standard slices, the frame fetal ultrasound image corresponding to the standard slice corresponding to the highest slice score according to the slice score of each standard slice in all standard slices corresponding to the marked feature category , as the optimal frame fetal ultrasound image corresponding to the target feature category.

It can be seen that the output control device for implementing the detection result of the fetal ultrasound image described in FIG. 4 can improve the optimal frame fetal ultrasound image by using the frame fetal ultrasound image corresponding to the standard slice corresponding to the highest slice score as the optimal frame fetal ultrasound image. Accuracy and efficiency of ultrasound image determination, thereby improving the output accuracy and efficiency of optimal frame fetal ultrasound images.

In yet another optional embodiment, as shown in FIG. 4 , the third determining module 308 further includes a judging sub-module 3082 and a screening sub-module 3083, wherein:

The judging submodule 3082 is used to determine the frame corresponding to the standard section corresponding to the highest section score from all the standard sections according to the section score of each standard section in all the standard sections corresponding to the target feature category in the determining submodule 3081 The fetal ultrasound image, before the optimal frame fetal ultrasound image corresponding to the target feature category, and when the target feature category is the target structural feature category, determine whether the target feature category corresponds to at least two matching feature categories, and the at least two matching feature categories include At least two matching standard section categories or at least two matching chapter categories; when the judgment result is no, trigger the determination sub-module 3081 to execute the above-mentioned section score of each standard section in all standard sections corresponding to the target feature category, from The operation of determining the frame of fetal ultrasound image corresponding to the standard slice corresponding to the highest slice score among all the standard slices as the optimal frame of fetal ultrasound image corresponding to the target feature category.

The determination sub-module 3081 is further configured to determine the slice score of each standard slice in all standard slices corresponding to each matching feature category corresponding to the target feature category when the determination result of the determination sub-module 3082 is yes.

Screening submodule 3083, for screening the fetal ultrasound image of the frame corresponding to the highest slice score from all the standard slices according to the slice score of each standard slice corresponding to each matching feature category;

The determination sub-module 3081 is further configured to determine the frames of fetal ultrasound images corresponding to all matching feature categories as the optimal frame fetal ultrasound images corresponding to the target feature category, and the number of optimal frame fetal ultrasound images corresponding to the target feature category is greater than 1.

It can be seen that the output control device for implementing the detection result of the fetal ultrasound image described in FIG. 4 first determines whether there are multiple standard slice categories and/or chapter categories corresponding to the structural feature, and if not, directly determines that the structural feature corresponds to The optimal frame fetal ultrasound image can improve the efficiency and accuracy of determining the optimal frame fetal ultrasound image corresponding to the structural features; if so, determine the optimal frame fetal ultrasound image corresponding to different standard slice categories and/or chapter categories respectively. , thereby further improving the accuracy of determining the optimal frame fetal ultrasound image.

In yet another optional embodiment, as shown in FIG. 4 , the apparatus further includes a third judging module 309, a screening module 310 and a sorting module 311, wherein:

The third judging module 309 is configured to, after the obtaining module 302 obtains the analysis result output by the image analysis model as the detection result of the fetal ultrasound image, determine whether there is any abnormal feature in all the features included in the fetal ultrasound image.

The screening module 310 is configured to screen all abnormal features from all features included in the fetal ultrasound image when the third determination module 309 determines that the result is yes.

The sorting module 311 is configured to sort all abnormal features according to the determined sorting method, and obtain all sorted abnormal features.

The control module 303 is configured to control the output terminal to output all sorted abnormal features.

It can be seen that the output control device for implementing the detection result of the fetal ultrasound image described in FIG. 4 further sorts all the abnormal features after detecting that all the features in the fetal ultrasound image have abnormal features, and outputs the sorted abnormal features, It is helpful for relevant personnel to quickly know the abnormal characteristics of fetal ultrasound images, so as to further quickly and clearly know the abnormal situation of fetal growth and development.

Embodiment 4

Please refer to FIG. 5 . FIG. 5 is another apparatus for outputting a detection result of a fetal ultrasound image disclosed in an embodiment of the present invention. Wherein, the output control device of the detection result of the fetal ultrasound image described in FIG. 5 can be applied to an intelligent detection system (intelligent detection device/intelligent detection server, wherein the intelligent detection server may include a local intelligent detection server or a cloud intelligent detection server, The embodiments of the present invention are not limited). As shown in FIG. 5 , the output control device for the detection result of the fetal ultrasound image may include:

a memory 501 storing executable program code;

a processor 502 coupled to the memory 501;

Further, it may also include an input interface 503 coupled with the processor 502 and an output interface 504;

The processor 502 invokes the executable program code stored in the memory 501 to execute some or all of the steps in the output control method for the detection result of the fetal ultrasound image described in the first embodiment or the second embodiment.

Embodiment 5

Please refer to FIG. 6, which is a schematic structural diagram of an intelligent detection system disclosed in an embodiment of the present invention. As shown in FIG. 6 , the intelligent detection system may include an output control device for the detection result of the fetal ultrasound image, and is used to implement the output control method for the detection result of the fetal ultrasound image described in the embodiment of FIG. 1 or FIG. 2 . Optionally, the output control device for the detection result of the fetal ultrasound image may be the output control device for the detection result of the fetal ultrasound image described in any one of FIG. 3 or FIG. 4 , which is not limited in the embodiment of the present invention.

Embodiment 6

An embodiment of the present invention discloses a computer-readable storage medium, which stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the detection result of the fetal ultrasound image described in the first or second embodiment. Some or all of the steps in the output control method.

Embodiment 7

An embodiment of the present invention discloses a computer program product. The computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the description in the first embodiment or the second embodiment. Part or all of the steps in the output control method of the detection result of the fetal ultrasound image.

The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components output as modules may or may not be physical modules, that is, they may be located in One place, or it can be distributed over multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.

From the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation manner can be implemented by means of software plus a necessary general hardware platform, and certainly can also be implemented by means of hardware. Based on this understanding, the above-mentioned technical solutions can be embodied in the form of software products in essence or that make contributions to the prior art. The computer software products can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory. (Read-Only Memory, ROM), Random Access Memory (Random Access Memory, RAM), Programmable Read-only Memory (PROM), Erasable Programmable Read Only Memory (EPROM) ), One-time Programmable Read-Only Memory (OTPROM), Electronically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read -Only Memory, CD-ROM) or other optical disk storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

Finally, it should be noted that: the output control method, device and system for outputting detection results of fetal ultrasound images disclosed in the embodiments of the present invention are only preferred embodiments of the present invention. , only used to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand; it can still be described in the foregoing embodiments. The technical solutions of the present invention are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

A method for controlling the output of detection results of fetal ultrasound images, characterized in that the method is applied in an intelligent detection system, and the method comprises:

The intelligent detection system inputs the received fetal ultrasound image into the determined image analysis model for analysis, and obtains the analysis result output by the image analysis model as the detection result of the fetal ultrasound image;

The intelligent detection system controls the output terminal corresponding to the intelligent detection system to output the detection result;

The detection result includes detection results of multiple features of the fetal ultrasound image, the detection result of each feature includes a detection identifier of the feature, and the detection identifier corresponding to each feature is used to indicate that the feature is One of a feature to be checked, a checked and normal feature, a checked and suspected feature, and a checked and abnormal feature, the checked and suspected feature is a feature of a detected and uncertain category, the checked and Anomalous features are features that have been detected and that have anomalous structural features.
The output control method of the detection result of the fetal ultrasound image according to claim 1, wherein the method further comprises:

The intelligent detection system judges whether there is a determined key detection feature in all the features according to the target information of all the features included in the fetal ultrasound image;

When it is determined that all the features included in the fetal ultrasound image have at least one of the key detection features, the intelligent detection system controls the output terminal to output a schematic diagram of a section corresponding to each of the key detection features, and each The schematic diagram of the section corresponding to the key detection feature includes the output identification of each structural feature in the standard section corresponding to the key detection feature;

The intelligent detection system determines the detection situation of the structural feature corresponding to the output mark according to the change of each of the output marks included in the schematic section diagram corresponding to each of the key detection features;

Wherein, for any one of the key detection features, when the change of each of the output signs included in the schematic section diagram corresponding to the key detection feature is used to indicate that the output sign changes from the first state to the second state, each The detection situation of the structural feature corresponding to each of the output identifiers is used to indicate that the structural feature is detected in the corresponding standard section.
The method for outputting detection results of fetal ultrasound images according to claim 1 or 2, wherein the output interface of the output terminal includes a first area and a second area, and the first area is used to output the The detection result, the second area is used to output a list of features to be checked and a list of checked features corresponding to the fetal ultrasound image, and the list of features to be checked is used to store a plurality of pieces of the determined ultrasound image of the fetus to be checked feature, the checked feature list is used to store a plurality of checked features of the fetal ultrasound image, and the categories of all the features to be checked included in the feature list to be checked include all the features included in the checked feature list The categories of the detected features, the plurality of categories of the features included in the fetal ultrasound image include all categories of the features to be detected included in the list of features to be checked.
The method for outputting a detection result of a fetal ultrasound image according to any one of claims 1 to 3, wherein all the features included in the fetal ultrasound image include multiple structural features of the fetal ultrasound image, The detection result of each of the features also includes the feature parameters of the feature, and the feature parameters of each of the features include the category information of the feature;

And, after the intelligent detection system obtains the analysis result output by the image analysis model as the detection result of the fetal ultrasound image, the method further includes:

The intelligent detection system determines the part feature of the fetal ultrasound image of the frame where each of the structural features included in the fetal ultrasound image is located, and determines the feature parameter of each of the part features, and the feature parameters of each of the part features include: Category information of the feature of the part;

The intelligent detection system determines the standard section of each feature according to the category information of each feature and the category information of the part feature corresponding to the feature, and the detection result of each feature also includes the standard section of the feature. test results.
The method for controlling the output of detection results of fetal ultrasound images according to any one of claims 1 to 4, wherein the intelligent detection system obtains the analysis results output by the image analysis model as the results of the fetal ultrasound images. After the detection result, the method further includes:

The intelligent detection system determines whether a playback request triggered by a fetal ultrasound image corresponding to a certain target feature category is detected, and the playback request is used to request playback of the fetal ultrasound image corresponding to the target feature category, and the target feature category The corresponding fetal ultrasound images include the optimal frame fetal ultrasound images corresponding to the target feature category, fetal ultrasound images of all standard slices corresponding to the target feature category, and fetal ultrasound images of all chapters corresponding to the target feature category. At least one, the fetal ultrasound image includes a fetal ultrasound image corresponding to the target feature category, the target feature category includes a target structural feature category and/or a target standard slice category, and each of the sections included in each of the The same categories of standard slices of fetal ultrasound images;

When the judgment result is yes, the intelligent detection system determines the fetal ultrasound image corresponding to the target feature category according to the playback request, and controls the output terminal to play back the fetal ultrasound image corresponding to the target feature category.
The method for controlling the output of detection results of fetal ultrasound images according to claim 5, wherein the intelligent detection system determines the fetal ultrasound images corresponding to the target feature categories according to the playback request, comprising:

When the fetal ultrasound image corresponding to the target feature category is the optimal frame fetal ultrasound image corresponding to the target feature category, the intelligent detection system determines that each of the standard slices corresponding to the target feature category The slice score of the standard slice;

The intelligent detection system determines the frame fetus corresponding to the standard slice corresponding to the highest slice score from all the standard slices according to the slice score of each of the standard slices corresponding to the target feature category. The ultrasound image is taken as the optimal frame fetal ultrasound image corresponding to the target feature category.
The method for outputting the detection results of fetal ultrasound images according to claim 6, wherein the intelligent detection system is based on the slice score of each of the standard slices in all the standard slices corresponding to the target feature categories before determining the frame fetal ultrasound image corresponding to the standard slice corresponding to the highest slice score from all the standard slices as the optimal frame fetal ultrasound image corresponding to the target feature category, the method further includes:

When the target feature category is the target structure feature category, the intelligent detection system determines whether the target feature category corresponds to at least two matching feature categories, and the at least two matching feature categories include at least two matching standard slices category or at least two matching chapter categories;

When the judgment result is no, trigger the execution of the slice score of each of the standard slices in all the standard slices corresponding to the target feature category, and determine the slice corresponding to the highest slice score from all the standard slices The frame fetal ultrasound image corresponding to the standard slice is used as the operation of the optimal frame fetal ultrasound image corresponding to the target feature category;

When the judgment result is yes, the intelligent detection system determines the slice score of each of the standard slices in all standard slices corresponding to each of the matching feature categories corresponding to the target feature category, and determines the slice score of each of the standard slices according to each of the standard slices. The slice score of each of the standard slices corresponding to the matching feature categories is selected, the frame fetal ultrasound images corresponding to the highest slice score are selected from all the standard slices, and the frame fetal ultrasound images corresponding to all the matching feature categories are determined as The optimal frame fetal ultrasound image corresponding to the target feature category, and the number of the optimal frame fetal ultrasound image corresponding to the target feature category is greater than 1.
The method for controlling the output of detection results of fetal ultrasound images according to any one of claims 1 to 7, wherein the intelligent detection system acquires the analysis results output by the image analysis model as the results of the fetal ultrasound images. After the detection result, the method further includes:

The intelligent detection system determines whether there are any abnormal features in all the features included in the fetal ultrasound image, and when the determination result is yes, selects all the abnormal features from all the features included in the fetal ultrasound image;

The intelligent detection system sorts all the abnormal features according to the determined sorting method, obtains all the sorted abnormal features, and controls the output terminal to output all the sorted abnormal features.
An output control device for detection results of fetal ultrasound images, characterized in that the device is applied in an intelligent detection system, and the device comprises:

The analysis module is used for inputting the received fetal ultrasound image into the determined image analysis model for analysis;

an acquisition module, configured to acquire the analysis result output by the image analysis model as the detection result of the fetal ultrasound image;

a control module, configured to control the output terminal corresponding to the intelligent detection system to output the detection result;

Wherein, the detection result includes detection results of multiple features of the fetal ultrasound image, the detection result of each feature includes a detection identifier of the feature, and the detection identifier corresponding to each feature is used to indicate that the feature is One of a feature to be checked, a checked and normal feature, a checked and suspected feature, and a checked and abnormal feature, the checked and suspected feature is a feature of a detected and uncertain category, the checked and suspected feature Anomalous features are features that have been detected and that have anomalous structural features.
An intelligent detection system, characterized in that, the intelligent detection system is used for executing the output control method of the detection result of the fetal ultrasound image according to any one of claims 1-8.