CN113270168B - Method and system for improving medical image processing capability - Google Patents
Method and system for improving medical image processing capability Download PDFInfo
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Abstract
The invention provides a method and a system for improving medical image processing capability, which are characterized in that first patient information is obtained; obtaining first test instrument information for a first medical test item; obtaining first parameter information and second parameter information; obtaining first input data information; obtaining first family history information and first historical illness state information; judging whether second illness state information exists in the first family history information; if so, obtaining second input data information; respectively obtaining first pathological picture information and second pathological picture information; obtaining third input data information; inputting the first input data information, the second input data information and the third input data information into an image processing model; obtaining a first output result and a second output result according to the image processing model; the first printing instruction is obtained, and the first output result and the second output result are printed and output, so that the technical effect of improving the accuracy of medical data obtained by medical image processing is achieved.
Description
Technical Field
The present invention relates to the field of medical image processing technologies, and in particular, to a method and a system for improving a medical image processing capability.
Background
In the medical field, in order to identify a disease of an object and observe the extent of the disease, images are acquired by various imaging devices, and image diagnosis is performed by medical professionals. Medical images refer to internal tissue images obtained non-invasively for a human body or a part of a human body for medical treatment or medical research. After the medical image is acquired with the medical device, the duty cycle of a particular cell area pixel block in the medical image at the medical image may be analyzed.
However, the applicant of the present invention has found that the prior art has at least the following technical problems:
in the existing medical image processing technology, the quality of the medical image obtained by processing is low due to the restriction of various factors, and the accuracy of the identified area is low, so that the diagnosis result of a doctor is influenced, and the probability of missed diagnosis and misdiagnosis is increased.
Disclosure of Invention
The embodiment of the invention provides a method and a system for improving the processing capability of medical images, which solve the technical problems that the quality of the medical images obtained by processing is low due to the restriction of various factors in the prior art, and the accuracy of an identified area is low, so that the diagnosis result of doctors is influenced, the probability of missed diagnosis and misdiagnosis is increased, the accuracy of medical data obtained by processing the medical images is improved, objective, stable and accurate image processing results are provided, the burden of doctors is reduced, and the diagnosis efficiency and accuracy are improved.
In view of the foregoing, embodiments of the present application are provided to provide a method and system for improving a medical image processing capability.
In a first aspect, the present invention provides a method of improving medical image processing capabilities, the method comprising: obtaining first patient information; obtaining first test instrument information for a first medical test item for the first patient; obtaining first parameter information and second parameter information according to the first detection instrument information, wherein the first parameter information is first detection precision, and the second parameter information is second detector attribute information; obtaining first input data information according to the first parameter information and the second parameter information; obtaining first family history information and first historical illness state information according to the first illness state information; judging whether second illness state information exists in the first family history information, wherein a first relevance is provided between a second medical detection item of the second illness state information and the first medical detection item; if the second illness state information exists, obtaining second input data information according to the second illness state information, the first historical illness state information and the first illness state information; according to the first medical detection project and the second medical detection project, respectively obtaining first pathology picture information and second pathology picture information; obtaining third input data information according to the first pathological picture information and the second pathological picture information; inputting the first input data information, the second input data information and the third input data information into an image processing model; obtaining a first output result and a second output result according to the image processing model, wherein the first output result is a first pathology type of the first patient, and the second output result is first development stage information of the first pathology type; and obtaining a first printing instruction, and printing and outputting the first output result and the second output result according to the first printing instruction.
In a second aspect, the present invention provides a system for improving medical image processing capabilities, the system comprising:
the first acquisition unit is used for acquiring first patient information;
a second obtaining unit for obtaining first test instrument information of the first patient for a first medical test item;
the third obtaining unit is used for obtaining first parameter information and second parameter information according to the first detection instrument information, wherein the first parameter information is first detection precision, and the second parameter information is second detector attribute information;
a fourth obtaining unit, configured to obtain first input data information according to the first parameter information and the second parameter information;
a fifth obtaining unit, configured to obtain first family history information and first historical condition information according to the first patient information;
the first judging unit is used for judging whether second illness state information exists in the first family history information or not, wherein a first relevance is provided between a second medical detection item of the second illness state information and the first medical detection item;
A sixth obtaining unit, configured to obtain second input data information according to the second illness state information, the first historical illness state information, and the first illness state information if the second illness state information exists;
a seventh obtaining unit configured to obtain first pathology picture information and second pathology picture information according to the first medical detection item and the second medical detection item, respectively;
an eighth obtaining unit for obtaining third input data information according to the first pathological picture information and the second pathological picture information;
a first input unit for inputting the first input data information, the second input data information, and the third input data information into an image processing model;
a ninth obtaining unit, configured to obtain a first output result and a second output result according to the image processing model, where the first output result is a first pathology type of the first patient, and the second output result is first development stage information of the first pathology type;
The first operation unit is used for obtaining a first printing instruction and printing and outputting the first output result and the second output result according to the first printing instruction.
In a third aspect, the present invention provides a system for improving the processing power of medical images, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, said processor implementing the steps of the method according to any one of the preceding aspects when said program is executed.
The above-mentioned one or more technical solutions in the embodiments of the present application at least have one or more of the following technical effects:
the embodiment of the invention provides a method and a system for improving medical image processing capability, which are implemented by acquiring first patient information; obtaining first test instrument information for a first medical test item for the first patient; obtaining first parameter information and second parameter information according to the first detection instrument information, wherein the first parameter information is first detection precision, and the second parameter information is second detector attribute information; obtaining first input data information according to the first parameter information and the second parameter information; obtaining first family history information and first historical illness state information according to the first illness state information; judging whether second illness state information exists in the first family history information, wherein a first relevance is provided between a second medical detection item of the second illness state information and the first medical detection item; if the second illness state information exists, obtaining second input data information according to the second illness state information, the first historical illness state information and the first illness state information; according to the first medical detection project and the second medical detection project, respectively obtaining first pathology picture information and second pathology picture information; obtaining third input data information according to the first pathological picture information and the second pathological picture information; inputting the first input data information, the second input data information and the third input data information into an image processing model; obtaining a first output result and a second output result according to the image processing model, wherein the first output result is a first pathology type of the first patient, and the second output result is first development stage information of the first pathology type; the first printing instruction is obtained, and the first output result and the second output result are printed and output according to the first printing instruction, so that the technical effects that the medical image quality obtained by processing is low and the accuracy of the identified area is low in the prior art due to the restriction of various factors, the diagnosis result of a doctor is influenced, the probability of missed diagnosis and misdiagnosis is increased, the accuracy of medical data obtained by medical image processing is improved, objective, stable and accurate image processing results are provided, the burden of the doctor is lightened, and the diagnosis efficiency and accuracy are improved are achieved.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
Drawings
FIG. 1 is a flow chart of a method for improving medical image processing capability according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a system for improving medical image processing capability according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of another exemplary electronic device according to an embodiment of the present invention.
Reference numerals illustrate: the first obtaining unit 11, the second obtaining unit 12, the third obtaining unit 13, the fourth obtaining unit 14, the fifth obtaining unit 15, the first judging unit 16, the sixth obtaining unit 17, the seventh obtaining unit 18, the eighth obtaining unit 19, the first input unit 20, the ninth obtaining unit 21, the first operating unit 22, the bus 300, the receiver 301, the processor 302, the transmitter 303, the memory 304, the bus interface 305.
Detailed Description
The embodiment of the invention provides a method and a system for improving the processing capability of medical images, which are used for solving the technical problems that the quality of the medical images obtained by processing is low due to the restriction of various factors in the prior art, and the accuracy of an identified area is low, so that the diagnosis result of doctors is influenced, the probability of missed diagnosis and misdiagnosis is increased, the accuracy of medical data obtained by processing the medical images is improved, objective, stable and accurate image processing results are provided, the burden of doctors is reduced, and the diagnosis efficiency and accuracy are improved.
Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein.
Summary of the application
In the medical field, in order to identify a disease of an object and observe the extent of the disease, images are acquired by various imaging devices, and image diagnosis is performed by medical professionals. Medical images refer to internal tissue images obtained non-invasively for a human body or a part of a human body for medical treatment or medical research. After the medical image is acquired with the medical device, the duty cycle of a particular cell area pixel block in the medical image at the medical image may be analyzed.
Aiming at the technical problems, the technical scheme provided by the invention has the following overall thought:
the embodiment of the application provides a method for improving medical image processing capability, which comprises the following steps: obtaining first patient information; obtaining first test instrument information for a first medical test item for the first patient; obtaining first parameter information and second parameter information according to the first detection instrument information, wherein the first parameter information is first detection precision, and the second parameter information is second detector attribute information; obtaining first input data information according to the first parameter information and the second parameter information; obtaining first family history information and first historical illness state information according to the first illness state information; judging whether second illness state information exists in the first family history information, wherein a first relevance is provided between a second medical detection item of the second illness state information and the first medical detection item; if the second illness state information exists, obtaining second input data information according to the second illness state information, the first historical illness state information and the first illness state information; according to the first medical detection project and the second medical detection project, respectively obtaining first pathology picture information and second pathology picture information; obtaining third input data information according to the first pathological picture information and the second pathological picture information; inputting the first input data information, the second input data information and the third input data information into an image processing model; obtaining a first output result and a second output result according to the image processing model, wherein the first output result is a first pathology type of the first patient, and the second output result is first development stage information of the first pathology type; and obtaining a first printing instruction, and printing and outputting the first output result and the second output result according to the first printing instruction.
Having described the basic principles of the present application, the following detailed description of the technical solutions of the present application will be made by using the accompanying drawings and specific embodiments, and it should be understood that the specific features of the embodiments and embodiments of the present application are detailed descriptions of the technical solutions of the present application, and not limiting the technical solutions of the present application, and the technical features of the embodiments and embodiments of the present application may be combined with each other without conflict.
Example 1
Fig. 1 is a flowchart of a method for improving a medical image processing capability according to an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a method for improving a medical image processing capability, the method including:
step 100: obtaining first patient information;
step 200: obtaining first test instrument information for a first medical test item for the first patient;
specifically, the first patient is a patient who goes to a hospital to check, the first patient information includes, but is not limited to, age, height, weight, sex, etc. of the first patient, and after the relevant information of the first patient is obtained, the first medical detection item information of the first patient which goes to the hospital can be obtained accordingly, for example, when the patient is uncomfortable to the intestines and stomach, the inspection of the intestines and stomach needs to be performed to accurately know the condition, and then, for example, the patient head is ill, the CT or MRI inspection needs to be performed to check the condition, further, the first detection instrument information of the first medical detection item checked by the patient can also be obtained, the first detection instrument is the equipment for checking the first medical detection item, and the first detection instrument information includes, but is not limited to, the manufacturer of the instrument, the service life, the maintenance record, etc., for example, in the field, when the patient needs to check the eye diseases, a series of fault checking equipment such as fundus cameras, scanning laser eye glasses (OCT), optical coherence scanning (OCT) devices, and angiography (OCT) devices, etc. can be performed by a series of different kinds of imaging devices.
Step 300: obtaining first parameter information and second parameter information according to the first detection instrument information, wherein the first parameter information is first detection precision, and the second parameter information is second detector attribute information;
step 400: obtaining first input data information according to the first parameter information and the second parameter information;
specifically, after the first detecting instrument is obtained, the first parameter information and the second parameter information may be further obtained, in this embodiment, the first parameter information is used as the detection precision of the instrument, and the second parameter information is used as the attribute information of the detector as the preference, that is, in the process of actually processing the image, the quality of the image may be affected by various factors, and the quality of the images obtained by different detecting instruments may also be different, including the model number, parameters, detection precision, and detector attributes such as the preparation material and material performance of the detector. Furthermore, the first parameter information and the second parameter information can be used as input information of a subsequent model, so that the purpose of acquiring more accurate image information is achieved.
Step 500: obtaining first family history information and first historical illness state information according to the first illness state information;
Specifically, according to the personal related information of the first patient, the first family history information and the first historical illness state information of the first patient can be obtained, wherein the family history refers to the illness state of family members of a patient with a certain illness, the family members are a wide range of family members, and the family members are not limited to ancestor and other immediate relatives. The first historical condition information is related medical history of the patient in a past period of time, for example, the patient's condition of taking a doctor in three years, five years, etc. can be collected, and the time period is not particularly limited in this embodiment.
Step 600: judging whether second illness state information exists in the first family history information, wherein a first relevance is provided between a second medical detection item of the second illness state information and the first medical detection item;
step 700: if the second illness state information exists, obtaining second input data information according to the second illness state information, the first historical illness state information and the first illness state information;
specifically, after the first family history information is obtained, whether the second disease condition information exists can be judged, and meanwhile, a first correlation is provided between a second medical detection item of the second disease condition and the first medical detection item, that is, when a patient is in a doctor, the doctor can open a corresponding examination list for the patient according to the oral disease condition of the patient and the initial inquiry examination condition, and when the second disease condition exists in the family history of the patient, the patient needs to be further examined. Therefore, the patient needs to take a second medical test item to check a second condition, further, the second medical test item has a certain similarity with the first medical test item in terms of detection means, pathological analysis, checking position, and the like, for example, the stomach of the first patient is uncomfortable, and if there is a related rectum cancer in family history, then when performing gastroscopy on stomach function, enteroscopy of intestinal function is also needed to check family history, and the current condition of the patient can be analyzed and diagnosed according to family history. Furthermore, if the second illness state information is judged to exist in the first family history, the second illness state information, the first history illness state information and the first illness state information can be further used as input information of a follow-up model, so that the purpose of acquiring more accurate image information is achieved.
Step 800: according to the first medical detection project and the second medical detection project, respectively obtaining first pathology picture information and second pathology picture information;
step 900: obtaining third input data information according to the first pathological picture information and the second pathological picture information;
further, according to the first pathological image information and the second pathological image information, third input data information is obtained, and step 900 of the embodiment of the present application further includes:
step 910: according to the first pathological picture information and the second pathological picture information, respectively obtaining first imaging pixel information and second imaging pixel information;
step 920: judging whether the first imaging pixel information and the second imaging pixel information meet a first preset condition or not;
step 930: when the first imaging pixel information and/or the second imaging pixel information do not meet the first preset condition, a first processing instruction is obtained;
step 940: processing the first pathological picture information and the second pathological picture information according to the first processing instruction, and then obtaining first target area information and second target area information;
step 950: and taking the first target area information and the second target area information as the third input data information.
Specifically, according to a first medical detection item and a second medical detection item of a patient, first pathology picture information and second pathology picture information can be obtained after examination, so that a medical image to be processed of the first patient can be obtained, and then the first pathology picture information and the second pathology picture information are used as third input data information and can be input into an image processing model, so that the technical effect of obtaining a more accurate image analysis result is achieved. When the third input data is obtained, the specific method is as follows: firstly, first imaging pixel information of first pathological picture information and second imaging pixel information of second pathological picture information can be obtained, then whether the first imaging pixel information and the second imaging pixel information meet first preset conditions or not is required to be judged, namely whether the information such as image quality, image definition, gray level and noise of the first imaging pixel information and the second imaging pixel information can meet the requirement of image processing or not is judged, if the first imaging pixel information is obtained, and/or the second imaging pixel information does not meet the first preset conditions, a first processing instruction is required to be generated, then the first pathological picture information and the second pathological picture information are correspondingly processed according to the first processing instruction, for example, imaging parameters, definition, noise, interference, artifacts and the like are processed, then the first target area information and the second target area information can be obtained, the first target area at the moment is an area of interest in the first pathological picture, the second target area is an area of interest in the second pathological picture, and finally the first target area information and the second target area information are used as third input data information, so that the training time can be further improved, and the training time can be further improved.
Step 1000: inputting the first input data information, the second input data information and the third input data information into an image processing model;
step 1100: obtaining a first output result and a second output result according to the image processing model, wherein the first output result is a first pathology type of the first patient, and the second output result is first development stage information of the first pathology type;
further, in order to accurately obtain the first output result and the second output result, step 1000 in the embodiment of the present application further includes:
step 1010: inputting the first input data information, the second input data information and the third input data information into an image processing model, the model being obtained by training a plurality of sets of training data, each set of the plurality of sets of training data comprising: the first input data information, the second input data information, the third input data information, first identification information for identifying a first output result, and second identification information for identifying a second output result;
step 1020: obtaining output information of the image processing model, wherein the output information comprises a first output result and a second output result, wherein the first output result is a first pathology type of the first patient, and the second output result is first development stage information of the first pathology type.
Specifically, after the first input data information, the second input data information and the third input data information are obtained, the first input data information, the second input data information and the third input data information are input into an image processing model, and the first pathology type of the first patient can be obtained through the output result of the image processing model, wherein the first pathology type is the diagnosis condition information of the patient, the second output result is the first development stage information of the first pathology type, the first development stage information is the current condition severity of the diagnosis condition of the first patient, and for diseases, the human diseases are a dynamic process which is continuously developed and have a certain time sequence characteristic, so that different development stages are distinguished for different diseases through the second output result of the model, and the development condition of the first patient can be obtained.
Furthermore, the training model is a neural network model in a machine learning model, and the machine learning model can continuously learn a large amount of data so as to continuously correct the model, and finally obtain satisfactory experience to process other data. The machine model is obtained through training of multiple sets of training data, and the neural network model is essentially a supervised learning process through training data. The training model in the embodiment of the application is obtained by training multiple sets of training data by machine learning, and each set of training data in the multiple sets of training data comprises: the first input data information, the second input data information, the third input data information, first identification information identifying the first output result, and second identification information identifying the second output result.
The first identification information of the first output result and the second identification information of the second output result are respectively used as supervision data. And (3) inputting each group of training data, performing supervised learning on the first input data information, the second input data information and the third input data information, and determining that the output information of the training model reaches a convergence state. Comparing the first identification information of the first output result and the second identification information of the second output result with the output result of the training model, and performing the next data supervised learning when the first identification information and the second identification information of the first output result are consistent with the output result of the training model; when the first output result is inconsistent with the second output result, the training model carries out self-correction until the output result is consistent with the first identification information of the first output result and the second identification information of the second output result, the supervision learning of the group is completed, and the next data supervision learning is carried out; and through the supervised learning of a large amount of data, the output result of the machine learning model reaches a convergence state, and the supervised learning is completed. Through the process of supervised learning the training model, the first output result and the second output result output by the training model are more accurate, so that the follow-up more accurate treatment on the patient is facilitated, the accuracy of medical data obtained by medical image processing is improved, objective, stable and accurate image processing results are provided, the burden of doctors is reduced, and the technical effects of diagnosis efficiency and accuracy are improved.
Step 1200: and obtaining a first printing instruction, and printing and outputting the first output result and the second output result according to the first printing instruction.
Specifically, after the first output result and the second output result are obtained, a first printing instruction can be generated, and then the first output result and the second output result are printed and output to a patient under the instruction of the first printing instruction.
Further, in order to achieve the purpose of judging the reliability, usability and accuracy of the first pathological image information, step 800 of the embodiment of the present application further includes:
step 810: obtaining first examination state information of the first patient;
step 820: obtaining a first matching degree according to the first examination state information, wherein the first matching degree is the matching degree between the first examination state information and the first medical detection item;
step 830: judging whether the first coordination degree meets a first preset coordination degree or not;
step 840: if not, obtaining a second processing instruction;
step 850: and according to the second processing instruction, discarding the first pathological picture information.
Specifically, after the first pathological image is obtained, whether the image can be used or not, that is, whether the image can represent the actual disease state of the patient is specifically analyzed and judged, and the specific method is as follows: firstly, first examination state information of a first patient needs to be obtained, the first examination state information is personal behavior state information when the patient carries out first medical item detection, then first coordination degree of the patient can be obtained according to the examination state of the patient, the first coordination degree at this time is the matching degree between the first examination state information and the first medical detection item, then whether the first coordination degree meets the first predetermined coordination degree needs to be judged, namely whether the current behavior state of the patient can meet the first medical detection item, some examinations such as MRI require the patient to keep still, no movement can be carried out, if any uncooperative behavior of the patient occurs in the examination process, the quality of a picture obtained by shooting at this time does not meet the requirement, and for many examinations, the coordination degree of children is far lower than that of adults. Therefore, if the first matching degree is judged to not meet the first preset matching degree, the first pathological image is not met the inspection requirement, then a second processing instruction is needed to be generated, and the first pathological image information is scrapped under the instruction of the second processing instruction, so that more accurate image information is obtained, and a reliable basis is provided for the accuracy of the subsequent image processing result. Similarly, the second pathological image may be determined and analyzed according to the above method, and for brevity of description, details are not repeated here.
Further, before the obtaining the first print instruction and printing out the first output result and the second output result according to the first print instruction, step 1200 in this embodiment of the present application further includes:
step 1210: obtaining third parameter information of the first printer;
step 1220: obtaining a second matching degree of the first printer and the first detection instrument according to the first parameter information, the second parameter information and the third parameter information;
step 1230: setting a second preset matching degree according to the first medical detection item;
step 1240: judging whether the second matching degree meets the second preset matching degree or not;
step 1250: if not, a third processing instruction is obtained;
step 1260: and according to the third processing instruction, adjusting the third parameter information.
Specifically, third parameter information of the first printer is obtained, the third parameter information is related set parameters of an instrument for printing pathological pictures, such as model number, paper size, blackness, toner amount, bottom ash and the like, then according to the first parameter information, the second parameter information and the third parameter information, second matching degree of the first printer and the first detection instrument can be obtained, then setting of second preset matching degree can be carried out according to the first medical detection item, then whether the second matching degree meets the second preset matching degree or not is judged, namely whether the matching degree between the printer and the detection instrument meets the requirement of the first medical detection item on image quality or not is judged, if the matching degree does not meet the requirement of the first medical detection item on image quality, a third processing instruction is required to be generated, then the third parameter information of the first printer is subjected to adjustment processing according to the third processing instruction, so that the quality of a printed image is ensured, and the accuracy of an image processing result is further improved.
Further, in order to achieve the purpose of obtaining more accurate image quality and improving the image processing capability, step 200 of the embodiment of the present application further includes:
step 210: a first detecting physician obtaining the first medical detection item of the first patient;
step 220: obtaining first level information of the first detecting physician;
step 230: obtaining a first proficiency of the first detecting physician with respect to the first detecting instrument;
step 240: judging whether the first proficiency and the first level information meet preset requirements or not;
step 250: if not, a first dispatch instruction is obtained;
step 260: and dispatching the detecting doctor meeting the preset requirement according to the first dispatching instruction.
Specifically, the first medical information of the first patient in the first medical test item is obtained, and further the first level information of the first medical test item can be obtained, wherein the first level information can be obtained through comprehensive evaluation on aspects of job employment situation of the first medical test item, performance situation in the working process, learning information and the like of the first medical test item, then the first proficiency of the first medical test item, namely the capability level of the first medical test item for the first medical test item, is obtained, then the first proficiency is the capability level of the first medical test item for the first medical test item, and then the first proficiency is integrated, and then the first proficiency and the first level information are judged to judge whether the first proficiency and the first level information meet the preset requirements or not, namely whether the medical test item meets the personal operation capability required by the medical test item or not is judged, if the first proficiency is not met, the first medical test item cannot be detected by the first medical test item by the medical test item is indicated by the medical test item, then a first dispatch instruction is required to be generated, and then the first medical dispatch instruction is required to meet the preset requirements for the first medical test item for the first patient, so that the image quality obtained by the test is guaranteed, and the image quality is further improved according to the image processing result.
Further, after the first output result and the second output result are obtained according to the image processing model, step 1100 in the embodiment of the present application further includes:
step 1110: when the first patient does not have the first pathological type, a preset area information base is obtained;
step 1120: taking the first pathological picture information as an abscissa;
step 1130: constructing a two-dimensional rectangular coordinate system by taking the predetermined area information base as an ordinate;
step 1140: and constructing a logistic regression line in the two-dimensional rectangular coordinate system according to the logistic regression model to obtain a first illness early warning model, wherein one side of the logistic regression line represents a third output result, the other side of the logistic regression line represents a fourth output result, the third output result is that the first illness has early warning characteristics of the second illness, and the fourth output result is that the first illness does not have early warning characteristics of the second illness.
Specifically, when the patient does not have the first pathology type, the detection result of the patient is normal, and the related pathology does not exist, then, a preset area information base can be obtained, the preset area information base is a preset set of related interested focus areas, then, a two-dimensional rectangular coordinate system can be built by taking the first pathology picture information as an abscissa and taking the preset area information base as an ordinate, a logistic regression line is built according to the logistic regression model in the two-dimensional rectangular coordinate system, a first illness early warning model is obtained, wherein one side of the logistic regression line represents a third output result, the other side of the logistic regression line represents a fourth output result, the third output result at the moment is early warning characteristics of the first illness with the second pathology, the fourth output result is early warning characteristics of the first illness with the second pathology, that is not provided with the second pathology, that is, namely, the illness can be prejudged for the first illness through the logistic regression model, further, the logistic regression model is a machine learning model reflecting the relation between independent variables and dependent variables, the illness can be early warned for the illness through the logistic regression line, the relation between the preset area information base and the first illness picture information can be better reflected, and the illness can be prevented through the preset area information.
Further, in order to obtain the image processing model, step 1000 of the embodiment of the present application further includes:
step 1030: acquiring first image field information of the first medical detection item;
step 1040: obtaining first standard labeling information according to the first image field information, wherein the first standard labeling information comprises first labeling team information and first labeling mode information;
step 1050: obtaining a first image database, wherein the first image database is provided with first traceability information;
step 1060: and according to the first standard marking information, after the first image database is processed, constructing the image processing model.
Specifically, when the image processing model is constructed, first image field information of a first medical detection item, that is, image field information, such as MRI, CT, X-ray, etc., to which the first medical detection item belongs, is required to be obtained, and then first standard labeling information can be obtained according to the first image field information, where the first standard labeling information includes, but is not limited to, first labeling team information and first labeling mode information, and the first labeling team is a doctor group for labeling an image, that is, a reliable labeling team is provided for constructing the model, and the achievement of maximization of a labeling person is guaranteed to be unified, and the first labeling mode information can provide unified labeling standards for model construction, such as unified image sign recognition, unified image labeling method, unified image segmentation method, etc.; furthermore, a first image database can be obtained, wherein the first image database is an image set obtained after the safe and reliable acquisition of data is carried out on multiple parties, the first image database comprises multiple images, each image is provided with first traceable information, so that the compliance and reliability of a data source are guaranteed, furthermore, the first standard labeling information is adopted, the multiple images in the first image database are processed, and then, an image processing model is constructed, so that the safety and fairness of the model effect are guaranteed, a detection standard and evaluation system are provided for model construction, the practicability of the model is further improved, the image processing capability is improved, and the development of intelligent diagnosis of medical images is promoted.
Example two
Based on the same inventive concept as the method for improving the medical image processing capability in the foregoing embodiment, the present invention further provides a method system for improving the medical image processing capability, as shown in fig. 2, the system includes:
a first obtaining unit 11, the first obtaining unit 11 being configured to obtain first patient information;
a second obtaining unit 12, the second obtaining unit 12 being configured to obtain first test instrument information of the first patient for a first medical test item;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain first parameter information and second parameter information according to the first detection instrument information, where the first parameter information is a first detection precision, and the second parameter information is second detector attribute information;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to obtain first input data information according to the first parameter information and the second parameter information;
a fifth obtaining unit 15, where the fifth obtaining unit 15 is configured to obtain first family history information and first historical disease information according to the first disease information;
a first judging unit 16, where the first judging unit 16 is configured to judge whether second disease information exists in the first family history information, and a second medical detection item of the second disease information has a first relevance with the first medical detection item;
A sixth obtaining unit 17, where the sixth obtaining unit 17 is configured to obtain second input data information according to the second illness state information, the first historical illness state information, and the first illness state information if the second illness state information exists;
a seventh obtaining unit 18, wherein the seventh obtaining unit 18 is configured to obtain first pathology picture information and second pathology picture information according to the first medical detection item and the second medical detection item, respectively;
an eighth obtaining unit 19, where the eighth obtaining unit 19 is configured to obtain third input data information according to the first pathological picture information and the second pathological picture information;
a first input unit 20, wherein the first input unit 20 is configured to input the first input data information, the second input data information, and the third input data information into an image processing model;
a ninth obtaining unit 21, where the ninth obtaining unit 21 is configured to obtain a first output result and a second output result according to the image processing model, where the first output result is a first pathology type of the first patient, and the second output result is first development stage information of the first pathology type;
The first operation unit 22 is configured to obtain a first printing instruction, and print out the first output result and the second output result according to the first printing instruction.
Further, the system further includes:
a tenth obtaining unit configured to obtain first imaging pixel information and second imaging pixel information, respectively, according to the first pathological picture information and the second pathological picture information;
a second judging unit configured to judge whether the first imaging pixel information and the second imaging pixel information satisfy a first predetermined condition;
an eleventh obtaining unit configured to obtain a first processing instruction when the first imaging pixel information and/or the second imaging pixel information does not satisfy the first predetermined condition;
a twelfth obtaining unit, configured to obtain first target area information and second target area information after processing the first pathological picture information and the second pathological picture information according to the first processing instruction;
And the first execution unit is used for taking the first target area information and the second target area information as the third input data information.
Further, the system further comprises:
a thirteenth obtaining unit configured to obtain first examination state information of the first patient;
a fourteenth obtaining unit configured to obtain a first degree of matching according to the first examination state information, where the first degree of matching is a degree of matching between the first examination state information and the first medical detection item;
the third judging unit is used for judging whether the first coordination degree meets a first preset coordination degree or not;
a fifteenth obtaining unit for obtaining a second processing instruction if not satisfied;
and the second execution unit is used for carrying out scrapping treatment on the first pathological picture information according to the second treatment instruction.
Further, before the first print instruction is obtained and the first output result and the second output result are printed and output according to the first print instruction, the system further includes:
A sixteenth obtaining unit configured to obtain third parameter information of the first printer;
a seventeenth obtaining unit configured to obtain a second matching degree of the first printer and the first detecting instrument according to the first parameter information, the second parameter information, and the third parameter information;
the first setting unit is used for setting a second preset matching degree according to the first medical detection item;
a fourth judging unit configured to judge whether the second matching degree satisfies the second predetermined matching degree;
an eighteenth obtaining unit configured to obtain a third processing instruction if not satisfied;
and the third execution unit is used for adjusting the third parameter information according to the third processing instruction.
Further, the system further comprises:
a nineteenth obtaining unit for obtaining a first detecting physician of the first medical detecting item of the first patient;
a twentieth obtaining unit configured to obtain first level information of the first detecting physician;
A twenty-first obtaining unit for obtaining a first proficiency of the first detecting physician with respect to the first detecting instrument;
a fifth judging unit for judging whether the first proficiency level and the first level information meet a predetermined requirement;
a twenty-second obtaining unit for obtaining the first dispatch instruction if not satisfied;
and the fourth execution unit is used for dispatching the detecting doctor meeting the preset requirement according to the first dispatching instruction.
Further, after the first output result and the second output result are obtained according to the image processing model, the system further includes:
a twenty-third obtaining unit for obtaining a predetermined region information base when the first patient does not have the first pathology type;
a fifth execution unit for taking the first pathological picture information as an abscissa;
the sixth execution unit is used for constructing a two-dimensional rectangular coordinate system by taking the predetermined area information base as an ordinate;
The twenty-fourth obtaining unit is used for constructing a logistic regression line in the two-dimensional rectangular coordinate system according to a logistic regression model to obtain a first disease early warning model, wherein one side of the logistic regression line represents a third output result, the other side of the logistic regression line represents a fourth output result, the third output result is that the first patient has the early warning feature of the second pathology, and the fourth output result is that the first patient does not have the early warning feature of the second pathology.
Further, the system further comprises:
a twenty-fifth obtaining unit configured to obtain first image area information of the first medical examination item;
a twenty-sixth obtaining unit, configured to obtain first standard labeling information according to the first image field information, where the first standard labeling information includes first labeling team information and first labeling mode information;
a twenty-seventh obtaining unit configured to obtain a first image database, wherein the first image database has first traceability information;
And the first construction unit is used for constructing the image processing model after processing the first image database according to the first standard marking information.
The foregoing variations and embodiments of a method for improving the processing capability of a medical image in the first embodiment of fig. 1 are equally applicable to a system for improving the processing capability of a medical image in the present embodiment, and those skilled in the art will be aware of the foregoing detailed description of a method for improving the processing capability of a medical image in the present embodiment, so that the detailed description thereof will not be repeated for brevity.
Example III
Based on the same inventive concept as the method for improving the medical image processing capability in the foregoing embodiments, the present invention further provides an exemplary electronic device, as shown in fig. 3, including a memory 304, a processor 302, and a computer program stored on the memory 304 and executable on the processor 302, where the processor 302 implements the steps of any of the methods for improving the medical image processing capability described in the foregoing when executing the program.
Where in FIG. 3 a bus architecture (represented by bus 300), bus 300 may comprise any number of interconnected buses and bridges, with bus 300 linking together various circuits, including one or more processors, represented by processor 302, and memory, represented by memory 304. Bus 300 may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., as are well known in the art and, therefore, will not be described further herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e. a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, while the memory 304 may be used to store data used by the processor 302 in performing operations.
The above-mentioned one or more technical solutions in the embodiments of the present application at least have one or more of the following technical effects:
the embodiment of the invention provides a method and a system for improving medical image processing capability, which are implemented by acquiring first patient information; obtaining first test instrument information for a first medical test item for the first patient; obtaining first parameter information and second parameter information according to the first detection instrument information, wherein the first parameter information is first detection precision, and the second parameter information is second detector attribute information; obtaining first input data information according to the first parameter information and the second parameter information; obtaining first family history information and first historical illness state information according to the first illness state information; judging whether second illness state information exists in the first family history information, wherein a first relevance is provided between a second medical detection item of the second illness state information and the first medical detection item; if the second illness state information exists, obtaining second input data information according to the second illness state information, the first historical illness state information and the first illness state information; according to the first medical detection project and the second medical detection project, respectively obtaining first pathology picture information and second pathology picture information; obtaining third input data information according to the first pathological picture information and the second pathological picture information; inputting the first input data information, the second input data information and the third input data information into an image processing model; obtaining a first output result and a second output result according to the image processing model, wherein the first output result is a first pathology type of the first patient, and the second output result is first development stage information of the first pathology type; the first printing instruction is obtained, and the first output result and the second output result are printed and output according to the first printing instruction, so that the technical effects that the medical image quality obtained by processing is low and the accuracy of the identified area is low in the prior art due to the restriction of various factors, the diagnosis result of a doctor is influenced, the probability of missed diagnosis and misdiagnosis is increased, the accuracy of medical data obtained by medical image processing is improved, objective, stable and accurate image processing results are provided, the burden of the doctor is lightened, and the diagnosis efficiency and accuracy are improved are achieved.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (9)
1. A method of improving medical image processing capabilities, wherein the method comprises:
obtaining first patient information;
obtaining first test instrument information for a first medical test item for the first patient;
obtaining first parameter information and second parameter information according to the first detection instrument information, wherein the first parameter information is first detection precision, and the second parameter information is second detector attribute information;
obtaining first input data information according to the first parameter information and the second parameter information;
obtaining first family history information and first historical illness state information according to the first illness state information;
judging whether second illness state information exists in the first family history information, wherein a first relevance is provided between a second medical detection item of the second illness state information and the first medical detection item;
if the second illness state information exists, obtaining second input data information according to the second illness state information, the first historical illness state information and the first illness state information;
according to the first medical detection project and the second medical detection project, respectively obtaining first pathology picture information and second pathology picture information;
Obtaining third input data information according to the first pathological picture information and the second pathological picture information;
inputting the first input data information, the second input data information and the third input data information into an image processing model;
obtaining a first output result and a second output result according to the image processing model, wherein the first output result is a first pathology type of the first patient, and the second output result is first development stage information of the first pathology type;
and obtaining a first printing instruction, and printing and outputting the first output result and the second output result according to the first printing instruction.
2. The method of claim 1, wherein the third input data information is obtained from the first and second pathology picture information, the method further comprising:
according to the first pathological picture information and the second pathological picture information, respectively obtaining first imaging pixel information and second imaging pixel information;
judging whether the first imaging pixel information and the second imaging pixel information meet a first preset condition or not;
when the first imaging pixel information and/or the second imaging pixel information do not meet the first preset condition, a first processing instruction is obtained;
Processing the first pathological picture information and the second pathological picture information according to the first processing instruction, and then obtaining first target area information and second target area information;
and taking the first target area information and the second target area information as the third input data information.
3. The method of claim 1, wherein the method further comprises:
obtaining first examination state information of the first patient;
obtaining a first matching degree according to the first examination state information, wherein the first matching degree is the matching degree between the first examination state information and the first medical detection item;
judging whether the first coordination degree meets a first preset coordination degree or not;
if not, obtaining a second processing instruction;
and according to the second processing instruction, discarding the first pathological picture information.
4. The method of claim 1, wherein the obtaining a first print instruction and before printing out the first output result and the second output result according to the first print instruction, the method further comprises:
obtaining third parameter information of the first printer;
Obtaining a second matching degree of the first printer and the first detection instrument according to the first parameter information, the second parameter information and the third parameter information;
setting a second preset matching degree according to the first medical detection item;
judging whether the second matching degree meets the second preset matching degree or not;
if not, a third processing instruction is obtained;
and according to the third processing instruction, adjusting the third parameter information.
5. The method of claim 1, wherein the method further comprises:
a first detecting physician obtaining the first medical detection item of the first patient;
obtaining first level information of the first detecting physician;
obtaining a first proficiency of the first detecting physician with respect to the first detecting instrument;
judging whether the first proficiency and the first level information meet preset requirements or not;
if not, a first dispatch instruction is obtained;
and dispatching the detecting doctor meeting the preset requirement according to the first dispatching instruction.
6. The method of claim 2, wherein after obtaining the first output result and the second output result according to the image processing model, the method further comprises:
When the first patient does not have the first pathological type, a preset area information base is obtained;
taking the first pathological picture information as an abscissa;
constructing a two-dimensional rectangular coordinate system by taking the predetermined area information base as an ordinate;
and constructing a logistic regression line in the two-dimensional rectangular coordinate system according to the logistic regression model to obtain a first illness early warning model, wherein one side of the logistic regression line represents a third output result, the other side of the logistic regression line represents a fourth output result, the third output result is that the first illness has early warning characteristics of the second illness, and the fourth output result is that the first illness does not have early warning characteristics of the second illness.
7. The method of claim 1, wherein the method further comprises:
acquiring first image field information of the first medical detection item;
obtaining first standard labeling information according to the first image field information, wherein the first standard labeling information comprises first labeling team information and first labeling mode information;
obtaining a first image database, wherein the first image database is provided with first traceability information;
And according to the first standard marking information, after the first image database is processed, constructing the image processing model.
8. A system for improving medical image processing capabilities, wherein the system comprises:
the first acquisition unit is used for acquiring first patient information;
a second obtaining unit for obtaining first test instrument information of the first patient for a first medical test item;
the third obtaining unit is used for obtaining first parameter information and second parameter information according to the first detection instrument information, wherein the first parameter information is first detection precision, and the second parameter information is second detector attribute information;
a fourth obtaining unit, configured to obtain first input data information according to the first parameter information and the second parameter information;
a fifth obtaining unit, configured to obtain first family history information and first historical condition information according to the first patient information;
the first judging unit is used for judging whether second illness state information exists in the first family history information or not, wherein a first relevance is provided between a second medical detection item of the second illness state information and the first medical detection item;
A sixth obtaining unit, configured to obtain second input data information according to the second illness state information, the first historical illness state information, and the first illness state information if the second illness state information exists;
a seventh obtaining unit configured to obtain first pathology picture information and second pathology picture information according to the first medical detection item and the second medical detection item, respectively;
an eighth obtaining unit for obtaining third input data information according to the first pathological picture information and the second pathological picture information;
a first input unit for inputting the first input data information, the second input data information, and the third input data information into an image processing model;
a ninth obtaining unit, configured to obtain a first output result and a second output result according to the image processing model, where the first output result is a first pathology type of the first patient, and the second output result is first development stage information of the first pathology type;
The first operation unit is used for obtaining a first printing instruction and printing and outputting the first output result and the second output result according to the first printing instruction.
9. A system for improving the processing power of medical images, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1-7 when said program is executed by said processor.
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