CN114188017A - Image processing method and device based on capsule system and electronic equipment - Google Patents
Image processing method and device based on capsule system and electronic equipment Download PDFInfo
- Publication number
- CN114188017A CN114188017A CN202111415052.1A CN202111415052A CN114188017A CN 114188017 A CN114188017 A CN 114188017A CN 202111415052 A CN202111415052 A CN 202111415052A CN 114188017 A CN114188017 A CN 114188017A
- Authority
- CN
- China
- Prior art keywords
- image
- processed
- suspicious
- standard
- matching
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000002775 capsule Substances 0.000 title claims abstract description 88
- 238000003672 processing method Methods 0.000 title claims abstract description 31
- 238000012545 processing Methods 0.000 claims abstract description 34
- 238000003745 diagnosis Methods 0.000 claims abstract description 32
- 238000000034 method Methods 0.000 claims abstract description 25
- 210000002784 stomach Anatomy 0.000 claims description 27
- 230000003902 lesion Effects 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 14
- 238000002372 labelling Methods 0.000 claims description 4
- 230000036285 pathological change Effects 0.000 claims description 4
- 231100000915 pathological change Toxicity 0.000 claims description 4
- 238000013473 artificial intelligence Methods 0.000 description 8
- 230000008569 process Effects 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000013589 supplement Substances 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002575 gastroscopy Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000026676 system process Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Biology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Quality & Reliability (AREA)
- Endoscopes (AREA)
Abstract
The invention provides an image processing method, an image processing device and electronic equipment based on a capsule system, wherein the method comprises the following steps: acquiring an image to be processed acquired by a capsule endoscope; matching the image to be processed with a standard image in a database; and under the condition that the matching between the image to be processed and the standard image is successfully confirmed, judging the image to be processed as a suspicious image, and sending the suspicious image to intelligent terminal equipment for focus diagnosis. The invention can save the time for diagnosing a large number of images to be processed, thereby improving the working efficiency of doctors.
Description
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to an image processing method and apparatus based on a capsule system, and an electronic device.
Background
In the prior art, the whole inspection process through the capsule endoscope is usually 30-60 minutes, the capsule shooting rate is 3-5 frames per second, 10000 20000 images shot by the capsule endoscope are generated after the inspection of a detected person is finished, only few suspicious images in the shot images are wanted by a doctor, so that the working efficiency of the doctor is seriously affected by a large number of useless images, and even huge image data is lost due to data congestion and blockage in the transmission process to cause missed diagnosis and misdiagnosis. Therefore, how to simplify the image processing process and improve the working efficiency of the doctor is a problem that needs to be solved at present.
Disclosure of Invention
The invention provides an image processing method based on a capsule system, which is used for overcoming the defect of complex image processing process in the prior art, simplifying the image processing process and improving the working efficiency of doctors.
The invention provides an image processing method based on a capsule system, which is applied to a server and comprises the following steps:
acquiring an image to be processed acquired by a capsule endoscope;
matching the image to be processed with a standard image in a database;
and under the condition that the matching between the image to be processed and the standard image is successfully confirmed, judging the image to be processed as a suspicious image, and sending the suspicious image to intelligent terminal equipment for focus diagnosis.
According to the image processing method based on the capsule system, before the image to be processed is matched with the standard image in the database, the method further comprises the following steps:
and intelligently identifying and labeling the focus in the stomach to obtain identification labels corresponding to the focus of each part, establishing a database of standard images corresponding to the identification labels and storing the database in the capsule endoscope.
According to the image processing method based on the capsule system, before the suspicious image is sent to the intelligent terminal device for lesion diagnosis, the method further comprises the following steps:
and receiving a judgment result of whether the suspicious image is complete or not by the intelligent terminal, and completing the suspicious image according to the standard image in the database under the condition that the suspicious image is confirmed to be incomplete.
The image processing method based on the capsule system further comprises the following steps:
and under the condition that the matching between the image to be processed and the standard image is not successfully confirmed, judging the image to be processed as an image without pathological changes, and deleting the image to be processed.
The invention also provides an image processing method based on the capsule system, which is applied to terminal equipment and comprises the following steps:
receiving a suspicious image sent by the server;
judging whether the suspicious image is complete or not, sending a judgment result to a server, and performing focus diagnosis on the suspicious image; wherein the suspicious image is obtained under the condition that the matching of the image to be processed and the standard image is confirmed to be successful.
The present invention also provides an image processing apparatus based on a capsule system, comprising:
the acquisition module is used for acquiring an image to be processed acquired by the capsule endoscope;
the matching module is used for matching the image to be processed with a standard image in a database;
and the processing module is used for judging the image to be processed as a suspicious image under the condition that the matching between the image to be processed and the standard image is confirmed to be successful, and sending the suspicious image to the intelligent terminal equipment for lesion diagnosis.
The present invention also provides an image processing apparatus based on a capsule system, comprising:
the receiving module is used for receiving the suspicious images sent by the server;
the judging module is used for judging whether the image is complete or not, sending a judging result to a server and carrying out focus diagnosis on the suspicious image; wherein the suspicious image is obtained under the condition that the matching of the image to be processed and the standard image is confirmed to be successful.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the capsule system based image processing method as described in any of the above when executing the program.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of image processing based on a capsule system as defined in any of the above.
The invention also provides a computer program product comprising a computer program which, when being executed by a processor, carries out the steps of the method for image processing based on a capsule system as defined in any of the above.
According to the capsule system-based image processing method, the capsule system-based image processing device and the electronic equipment, whether the image to be processed is a suspicious image or not is judged by matching the image to be processed acquired by the capsule endoscope with the standard image in the database, and the image to be processed with the judged result of the suspicious image is diagnosed, so that the time for diagnosing a large number of images to be processed is saved, and the working efficiency of a doctor is improved.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of an image processing method based on a capsule system provided by the present invention;
FIG. 2 is a second schematic flow chart of an image processing method based on a capsule system according to the present invention;
FIG. 3 is a schematic diagram of a two-end interaction flow of an image processing method based on a capsule system provided by the present invention;
FIG. 4 is a schematic structural diagram of an image processing apparatus based on a capsule system according to the present invention;
FIG. 5 is a second schematic structural diagram of an image processing apparatus based on a capsule system according to the present invention;
fig. 6 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The image processing method based on the capsule system provided by the invention is described in the following with reference to fig. 1-3.
Referring to fig. 1, the image processing method based on the capsule system provided by the invention is applied to a server and comprises the following steps:
step 110: acquiring an image to be processed acquired by a capsule endoscope;
specifically, the capsule endoscope is a disposable gastroscope for detecting stomach illness, the examinee only needs to swallow the gastroscope simply, and the capsule endoscope transmits the shot stomach image data to the APP-loaded mobile intelligent terminal through wireless transmission to perform image processing. The images to be processed are images of different parts and different time periods of the stomach, which are shot by the capsule endoscope during gastroscope detection.
Step 120: matching the image to be processed with a standard image in a database;
specifically, when performing gastroscopy, images to be processed acquired by the capsule endoscope are matched with standard images in a stored database. Wherein the standard images in the database comprise various focus images.
Step 130: and under the condition that the matching between the image to be processed and the standard image is successfully confirmed, judging the image to be processed as a suspicious image, and sending the suspicious image to intelligent terminal equipment for focus diagnosis.
Specifically, the successful matching between the image to be processed and the standard image means that the image acquired by the capsule endoscope has a higher similarity with the standard image in the database, that is, the image to be processed is judged to meet the judgment standard of the standard image, so that the image to be processed can be judged as a suspicious image, that is, the suspicious image indicates that the stomach part corresponding to the image to be processed may have a lesion. If the difference between the acquired image and the standard image is larger, the situation that the stomach position corresponding to the image to be processed is not abnormal is shown, and the image to be processed can be deleted.
And sending the suspicious image to the intelligent terminal equipment for focus diagnosis, namely, the examinee or the doctor can directly receive the suspicious image on the intelligent terminal equipment and perform diagnosis treatment.
According to the image processing method based on the capsule system, the images to be processed collected by the capsule endoscope are matched with the standard images in the database, so that whether the images to be processed are suspicious images or not is judged, the images to be processed with the judgment results being the suspicious images are diagnosed, time for diagnosing a large number of images to be processed is saved, and working efficiency of doctors is improved.
Based on the above embodiment, before matching the image to be processed with the standard image in the database, the image processing method based on the capsule system further includes the following steps:
and intelligently identifying and labeling the focus in the stomach to obtain identification labels corresponding to the focus of each part, establishing a database of standard images corresponding to the identification labels and storing the database in the capsule endoscope.
Specifically, various lesion-generating parts and lesion conditions in the stomach are labeled with identification labels so as to facilitate lesion classification, and each standard image in the database has a corresponding identification label. After the image to be processed is successfully matched with the standard image, the type of the focus of the image to be processed can be judged through the identification label of the standard image. The embodiment enables the suspicious image to be more convenient to process by labeling the identification label on the standard image.
Based on the above embodiment, before sending the suspicious image to the intelligent terminal device for lesion diagnosis, the image processing method based on the capsule system further includes the following steps:
and receiving a judgment result of whether the suspicious image is complete or not by the intelligent terminal, and completing the suspicious image according to the standard image in the database under the condition that the suspicious image is confirmed to be incomplete.
Specifically, in this embodiment, the application program of the mobile intelligent terminal may determine whether the shooting is complete according to the captured stomach image, and when the shooting is incomplete, the capsule endoscope controls the capsule endoscope through an external magnetic control device to supplement the complete stomach image until the suspicious image and the standard image have the same size and structure, and at this time, it may be determined that the suspicious image is a complete image.
In other embodiments, the capsule endoscope may be a non-magnetic control type capsule endoscope, and the non-magnetic control type capsule endoscope prompts the examinee to perform specific posture change at the APP of the mobile terminal to supplement the complete stomach captured image.
Based on the above embodiment, the image processing method based on the capsule system further includes the following steps:
and under the condition that the matching between the image to be processed and the standard image is not successfully confirmed, judging the image to be processed as an image without pathological changes, and deleting the image to be processed.
According to the embodiment, the to-be-processed image which is not successfully matched with the standard image is deleted, so that a large number of images which do not need to be processed are reduced, the cardinality of the to-be-processed image is reduced, and only a small number of images are required to be subjected to focus diagnosis, so that the working efficiency of doctors is improved.
Referring to fig. 2, the present invention further provides an image processing method based on a capsule system, applied to a terminal device, including the following steps:
step 210: receiving a suspicious image sent by the server;
step 220: judging whether the suspicious image is complete or not, sending a judgment result to a server, and performing focus diagnosis on the suspicious image; wherein the suspicious image is obtained under the condition that the matching of the image to be processed and the standard image is confirmed to be successful.
The embodiment receives the suspicious image sent by the server, and judges and diagnoses the suspicious image. And judging whether the suspicious image is a complete image or not, returning a judgment result to the server, and judging the focus of the suspicious image through the server.
In the image processing method based on the capsule system, the image to be processed acquired by the capsule endoscope is matched with the standard image in the database, so that whether the image to be processed is a suspicious image or not is judged, and the image to be processed with the judged result of the suspicious image is diagnosed, so that the time for diagnosing a large amount of images to be processed is saved, and the working efficiency of a doctor is improved.
In order to more clearly explain the technical solution of the present invention, the following examples are given by way of illustration. Referring to fig. 3, the detailed scheme provided by the present invention is as follows:
1. the server capsule endoscope captures stomach images.
2. The server inputs the stomach image into the created standard lesion image database for comparison. And judging whether the shot stomach image is consistent with the standard focus image in the database, if so, continuing to diagnose, and if not, deleting the shot stomach image.
3. And the server sends the stomach image consistent with the standard image to the intelligent terminal. And after the photographed stomach image is judged to be consistent with the standard focus image in the database, the photographed stomach image is transmitted to the intelligent terminal.
4. And the intelligent terminal sends the integrity judgment result of the stomach image to the server. And if the stomach image is an incomplete image, the stomach image is completely supplemented according to the standard image.
5. And the intelligent terminal carries out diagnosis and analysis on the stomach image. The examinee can upload the cloud terminal to carry out diagnosis and analysis after receiving the image at the intelligent terminal. The cloud AI image processing system processes the stomach image, performs AI screening on the pathological change image, analyzes the preliminary diagnosis result by AI, and sends the diagnosis result to the doctor end for final diagnosis. The doctor can download the stomach image of the examined person in the cloud and download the AI diagnosis result in the cloud, and analyze and give the final diagnosis report and send to the examined person, and the examined person looks up the final diagnosis result at the intelligent terminal.
The capsule system-based image processing method provided by the invention intelligently identifies and labels the parts in the stomach, focuses and the like, compares the collected images with a focus database one by one, outputs suspicious lesions consistent with the database pictures, uploads the suspicious lesions to a cloud AI (Artificial Intelligence) for further processing and analysis, and otherwise deletes the suspicious lesions and does not output the suspicious lesions. Therefore, the detection rate of the focus is further improved, and the working efficiency of a doctor is greatly improved. Because the quantity of the output images of the capsule is greatly reduced, the output images are only suspicious focus images, and a cloud AI intelligent film reading system can be cancelled if necessary according to actual conditions, so that the working efficiency of a doctor can be improved, the process of uploading the cloud by a subject can be omitted, and the step of cloud analysis is omitted to achieve the effect of saving cost.
The following table is used to illustrate the beneficial effects of the present invention, taking 2000 images of the lesion database as an example, 20000 images of the capsule, 50 images of the capsule output image matched with the lesion database, 45 images of the cloud AI radiograph reading system, and the diagnosis time of the doctor processing the images is shown in the following table 1:
TABLE 1
The following describes the image processing apparatus for a capsule system according to the present invention, and the image processing apparatus for a capsule system described below and the image processing method for a capsule system described above may be referred to in correspondence with each other.
Referring to fig. 4, the present invention provides an image processing apparatus based on a capsule system, including the following modules:
an acquisition module 410, configured to acquire an image to be processed acquired by a capsule endoscope;
a matching module 420, configured to match the image to be processed with a standard image in a database;
the processing module 330 is configured to determine the image to be processed as a suspicious image and send the suspicious image to an intelligent terminal device for lesion diagnosis, when it is determined that the image to be processed is successfully matched with the standard image.
The image processing device based on the capsule system provided by the embodiment determines whether the image to be processed is a suspicious image by matching the image to be processed acquired by the capsule endoscope with the standard image in the database, and diagnoses the image to be processed with the determination result being the suspicious image, so that the time for diagnosing a large amount of images to be processed is saved, and the working efficiency of a doctor is improved.
Further, the invention provides an image processing device based on a capsule system, which further comprises the following modules:
and the marking module is used for intelligently identifying and marking the focus in the stomach to obtain identification labels corresponding to the focus of each part, establishing a database of standard images corresponding to the identification labels and storing the database in the capsule endoscope.
Further, the invention provides an image processing device based on a capsule system, which further comprises the following modules:
and the completion module is used for receiving a judgment result of the intelligent terminal whether the suspicious image is complete or not, and completing the suspicious image according to the standard image in the database under the condition that the suspicious image is confirmed to be incomplete.
Further, the invention provides an image processing device based on a capsule system, which further comprises the following modules:
and the deleting module is used for judging the image to be processed as an image without lesion under the condition that the image to be processed is not successfully matched with the standard image, and deleting the image to be processed.
Referring to fig. 5, the present invention also provides an image processing apparatus based on a capsule system, including the following modules:
a receiving module 510, configured to receive a suspicious image sent by the server;
a judging module 520, configured to judge whether the image is complete, send a judgment result to a server, and perform focus diagnosis on the suspicious image; wherein the suspicious image is obtained under the condition that the matching of the image to be processed and the standard image is confirmed to be successful.
Fig. 6 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 5: a processor (processor)610, a communication Interface (Communications Interface)620, a memory (memory)630 and a communication bus 640, wherein the processor 610, the communication Interface 620 and the memory 630 communicate with each other via the communication bus 640. The processor 610 may invoke logic instructions in the memory 630 to perform a method of image processing based on a capsule system, the method comprising: acquiring an image to be processed acquired by a capsule endoscope;
matching the image to be processed with a standard image in a database;
and under the condition that the matching between the image to be processed and the standard image is successfully confirmed, judging the image to be processed as a suspicious image, and sending the suspicious image to intelligent terminal equipment for focus diagnosis.
In addition, the logic instructions in the memory 630 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program, the computer program being storable on a non-transitory computer readable storage medium, the computer program, when executed by a processor, being capable of executing the capsule system based image processing method provided by the above methods, the method comprising:
acquiring an image to be processed acquired by a capsule endoscope;
matching the image to be processed with a standard image in a database;
and under the condition that the matching between the image to be processed and the standard image is successfully confirmed, judging the image to be processed as a suspicious image, and sending the suspicious image to intelligent terminal equipment for focus diagnosis.
In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method for capsule system-based image processing provided by the above methods, the method comprising:
acquiring an image to be processed acquired by a capsule endoscope;
matching the image to be processed with a standard image in a database;
and under the condition that the matching between the image to be processed and the standard image is successfully confirmed, judging the image to be processed as a suspicious image, and sending the suspicious image to intelligent terminal equipment for focus diagnosis.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended 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, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An image processing method based on a capsule system is applied to a server and is characterized by comprising the following steps:
acquiring an image to be processed acquired by a capsule endoscope;
matching the image to be processed with a standard image in a database;
and under the condition that the matching between the image to be processed and the standard image is successfully confirmed, judging the image to be processed as a suspicious image, and sending the suspicious image to intelligent terminal equipment for focus diagnosis.
2. The capsule system-based image processing method according to claim 1, wherein before matching the image to be processed with a standard image in a database, the method further comprises:
and intelligently identifying and labeling the focus in the stomach to obtain identification labels corresponding to the focus of each part, establishing a database of standard images corresponding to the identification labels and storing the database in the capsule endoscope.
3. The capsule system-based image processing method according to claim 1, wherein before sending the suspicious image to an intelligent terminal device for lesion diagnosis, the method further comprises:
and receiving a judgment result of whether the suspicious image is complete or not by the intelligent terminal, and completing the suspicious image according to the standard image in the database under the condition that the suspicious image is confirmed to be incomplete.
4. The image processing method based on the capsule system according to any one of claims 1 to 3, further comprising:
and under the condition that the matching between the image to be processed and the standard image is not successfully confirmed, judging the image to be processed as an image without pathological changes, and deleting the image to be processed.
5. An image processing method based on a capsule system is applied to a terminal device and is characterized by comprising the following steps:
receiving a suspicious image sent by the server;
judging whether the suspicious image is complete or not, sending a judgment result to a server, and performing focus diagnosis on the suspicious image; wherein the suspicious image is obtained under the condition that the matching of the image to be processed and the standard image is confirmed to be successful.
6. An image processing apparatus based on a capsule system, comprising:
the acquisition module is used for acquiring an image to be processed acquired by the capsule endoscope;
the matching module is used for matching the image to be processed with a standard image in a database;
and the processing module is used for judging the image to be processed as a suspicious image under the condition that the matching between the image to be processed and the standard image is confirmed to be successful, and sending the suspicious image to the intelligent terminal equipment for lesion diagnosis.
7. An image processing apparatus based on a capsule system, comprising:
a receiving module for receiving the suspicious image sent by the server,
the judging module is used for judging whether the image is complete or not, sending a judging result to a server and carrying out focus diagnosis on the suspicious image; wherein the suspicious image is obtained under the condition that the matching of the image to be processed and the standard image is confirmed to be successful.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the program, carries out the steps of the method for image processing based on a capsule system according to any of claims 1 to 5.
9. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for image processing based on a capsule system according to any one of claims 1 to 5.
10. A computer program product comprising a computer program, wherein the computer program realizes the steps of the method for image processing based on a capsule system according to one of claims 1 to 5 when executed by a processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111415052.1A CN114188017A (en) | 2021-11-25 | 2021-11-25 | Image processing method and device based on capsule system and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111415052.1A CN114188017A (en) | 2021-11-25 | 2021-11-25 | Image processing method and device based on capsule system and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114188017A true CN114188017A (en) | 2022-03-15 |
Family
ID=80602605
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111415052.1A Pending CN114188017A (en) | 2021-11-25 | 2021-11-25 | Image processing method and device based on capsule system and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114188017A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1770570A2 (en) * | 2005-09-18 | 2007-04-04 | Given Imaging Ltd. | System and method for identification of images in an image database |
| CN102397052A (en) * | 2011-11-30 | 2012-04-04 | 西交利物浦大学 | Image-recognition-technology-based shooting-speed-adjustable wireless capsule endoscope system and method |
| CN102708292A (en) * | 2012-05-10 | 2012-10-03 | 北京奥信通科技发展有限公司 | System and method for managing and displaying capsule endoscope images |
| US20200043613A1 (en) * | 2018-08-01 | 2020-02-06 | Ankon Technologies Co., Ltd. | Capsule endoscopy image review and quality control system and control method thereof |
| CN111341441A (en) * | 2020-03-02 | 2020-06-26 | 刘四花 | Gastrointestinal disease model construction method and diagnosis system |
| CN113268623A (en) * | 2021-06-01 | 2021-08-17 | 上海市第一人民医院 | Artificial intelligence gastroscope image recognition processing system |
-
2021
- 2021-11-25 CN CN202111415052.1A patent/CN114188017A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1770570A2 (en) * | 2005-09-18 | 2007-04-04 | Given Imaging Ltd. | System and method for identification of images in an image database |
| CN102397052A (en) * | 2011-11-30 | 2012-04-04 | 西交利物浦大学 | Image-recognition-technology-based shooting-speed-adjustable wireless capsule endoscope system and method |
| CN102708292A (en) * | 2012-05-10 | 2012-10-03 | 北京奥信通科技发展有限公司 | System and method for managing and displaying capsule endoscope images |
| US20200043613A1 (en) * | 2018-08-01 | 2020-02-06 | Ankon Technologies Co., Ltd. | Capsule endoscopy image review and quality control system and control method thereof |
| CN111341441A (en) * | 2020-03-02 | 2020-06-26 | 刘四花 | Gastrointestinal disease model construction method and diagnosis system |
| CN113268623A (en) * | 2021-06-01 | 2021-08-17 | 上海市第一人民医院 | Artificial intelligence gastroscope image recognition processing system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10810735B2 (en) | Method and apparatus for analyzing medical image | |
| CN107680684B (en) | Method and device for acquiring information | |
| CN110532746B (en) | Face checking method, device, server and readable storage medium | |
| CN110084113B (en) | Living body detection method, living body detection device, living body detection system, server and readable storage medium | |
| CN112949456B (en) | Video feature extraction model training and video feature extraction method and device | |
| CN111467074A (en) | Method and device for detecting the state of animals | |
| CN113158773B (en) | Training method and training device for living body detection model | |
| CN116012568A (en) | System for acquiring cardiac rhythm information through photographing electrocardiogram | |
| CN108399401B (en) | Method and device for detecting face image | |
| CN110889847A (en) | A nuclear radiation damage assessment system and method based on infrared imaging | |
| CN109657535B (en) | Image identification method, target device and cloud platform | |
| CN110772210B (en) | Diagnosis interaction system and method | |
| CN114188017A (en) | Image processing method and device based on capsule system and electronic equipment | |
| CN110414322B (en) | Method, device, equipment and storage medium for extracting picture | |
| CN110197722B (en) | AI-CPU system platform | |
| CN109886916B (en) | A capsule mirror image screening method and device | |
| CN109492602B (en) | Process timing method and system based on human body language | |
| CN111695445A (en) | Face recognition method, device, equipment and computer readable storage medium | |
| CN114255203B (en) | Fry quantity estimation method and system | |
| CN115908413A (en) | Contrast image segmentation method, electronic device, processing system, and storage medium | |
| CN110445954B (en) | Image acquisition method and device and electronic equipment | |
| CN114469126A (en) | Electrocardio data classification processing method and device, storage medium and computer equipment | |
| CN111192679A (en) | Method and device for processing image data exception and storage medium | |
| CN114332844B (en) | Intelligent classification application method, device, equipment and storage medium of medical image | |
| CN112862798B (en) | Method and device for detecting imaging condition of black-and-white camera |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |