CN112447305A - Pathological analysis system based on comprehensive images - Google Patents
Pathological analysis system based on comprehensive images Download PDFInfo
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- CN112447305A CN112447305A CN202011503297.5A CN202011503297A CN112447305A CN 112447305 A CN112447305 A CN 112447305A CN 202011503297 A CN202011503297 A CN 202011503297A CN 112447305 A CN112447305 A CN 112447305A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/60—ICT specially adapted for the handling or processing of medical references relating to pathologies
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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Abstract
The invention relates to the technical field of pathological analysis, in particular to a pathological analysis system based on comprehensive images, which consists of an information uploading module and an information downloading module; the system comprises an information uploading module, an information downloading module, a database and an information analyzing module, wherein the information uploading module is used for scanning each part of the body of a patient and respectively manufacturing image single sheets to be classified and stored in the database, and the information downloading module is used for calling the image single sheets in the database and integrating and outputting the image single sheets with normal body images for comparison.
Description
Technical Field
The invention relates to the technical field of pathological analysis, in particular to a pathological analysis system based on comprehensive images.
Background
China is a large population country and has already stepped into an aging society, and the difficulty in seeing a doctor is a primary problem which troubles the medical industry of China. The reason for the difficulty in seeing the doctor is mainly that medical resources are not distributed uniformly, patients are expected to visit a large hospital for finding experts when seeing the doctor, the number and energy of the experts are limited, only a certain number of patients can be seen every day, so that a lot of patients needing to see the doctor cannot be treated in time, and the best time for determining and treating is delayed.
At present, the reason why the diagnosis result cannot be obtained quickly for the patient is that the number of experts is limited, the traditional one-to-one diagnosis treatment cannot cope with the increase of the number of patients, and the patient often needs to go to different departments to be diagnosed respectively, which takes a long time and is more disadvantageous for the body of the patient.
Disclosure of Invention
The invention aims to solve the defects that the number of doctors is limited and different patients cannot be subjected to targeted diagnosis and analysis timely and rapidly in the prior art, and provides a pathology analysis system based on comprehensive images.
In order to achieve the purpose, the invention adopts the following technical scheme:
a pathology analysis system based on comprehensive images is composed of an information uploading module and an information downloading module;
the information uploading module consists of an image acquisition unit, an image distinguishing unit, an image converging unit and an image storage unit;
the information downloading module consists of an image calling unit, an image analyzing unit, an image combining unit and an image output unit;
the information uploading module is used for scanning images of all parts of the body of a patient, the images are respectively manufactured into image single sheets to be classified and stored in a database, and the information downloading module is used for calling the image single sheets in the database, integrating the image single sheets with normal body images and outputting the image single sheets for comparison.
Preferably, the image acquisition unit acquires an image of the body of the patient by using X-ray or ultrasound and generates an image single sheet.
Preferably, the image distinguishing unit classifies the acquired image single-chip into different categories according to different body parts.
Preferably, the image distinguishing unit classifies the acquired image single pieces according to different differences of the injury properties.
Preferably, the image merging unit arranges the classified image single sheets one by one according to an order, and stores the image single sheets in the database by using the image storage unit.
Preferably, the image retrieving unit retrieves the image single chip from the database and sends the image single chip to the image analyzing unit for analysis.
The image analysis unit comprises the following analysis steps:
s1, type analysis: analyzing the image single chip taken out according to the diagnosis needs of different departments;
s2, priority ordering: sequencing the called image single sheets according to the diagnosis sequence of different departments;
s3, feature contrast: and comparing the sorted image single slice with the normal image single slice.
Preferably, the image combining unit combines the adjusted body image of the patient and the normal image on the same page to form a contrast page.
Preferably, the image output unit outputs the comparison page for pathological analysis.
The invention has the beneficial effects that: the pathological analysis system provided by the scheme solves the problems that the number of doctors is limited, and the targeted diagnosis and analysis of different patients cannot be carried out rapidly in time, and the pathological analysis system is provided to make the images of the affected parts of all patients into the information unit to be stored in the database, doctors and experts in all departments can analyze and judge the physical conditions of the appointed patients only by downloading the corresponding image data, so that the situation that the patients find the doctors is avoided, the patients can rapidly learn the diagnosis results in time, a large amount of time is saved, and the using effect is good.
Drawings
Fig. 1 is a system block diagram of a comprehensive image-based pathology analysis system according to the present invention;
fig. 2 is a block diagram of an image analysis unit of a pathology analysis system based on a synthetic image according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the equipment or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In this embodiment, referring to fig. 1-2, a pathology analysis system based on a comprehensive image is composed of an information uploading module and an information downloading module;
the information uploading module consists of an image acquisition unit, an image distinguishing unit, an image converging unit and an image storage unit;
the information downloading module consists of an image calling unit, an image analyzing unit, an image combining unit and an image output unit;
the information uploading module is used for scanning images of all parts of the body of a patient, the images are respectively manufactured into image single sheets to be classified and stored in a database, and the information downloading module is used for calling the image single sheets in the database, integrating the image single sheets with normal body images and outputting the image single sheets for comparison.
The system comprises an image acquisition unit, an image distinguishing unit, an image converging unit, an image storage unit and an image analysis unit, wherein the image acquisition unit acquires images of a body of a patient by utilizing X-rays or ultrasound and produces image single sheets, the image distinguishing unit classifies the acquired image single sheets according to different differences of body parts, the image distinguishing unit classifies the acquired image single sheets according to different differences of injury properties, the image converging unit arranges the classified image single sheets one by one according to sequence and stores the image single sheets into a database by utilizing the image storage unit, and the image calling unit calls the image single sheets from the database and sends the image single sheets into the image analysis unit for analysis.
The image analysis unit comprises the following analysis steps:
s1, type analysis: analyzing the image single chip taken out according to the diagnosis needs of different departments;
s2, priority ordering: sequencing the called image single sheets according to the diagnosis sequence of different departments;
s3, feature contrast: and comparing the sorted image single slice with the normal image single slice.
The image combination unit combines the adjusted body image of the patient and the normal image on the same page to form a contrast page, and the image output unit outputs the contrast page for pathological analysis.
The specific working principle is as follows:
the information uploading module: the whole body or part of a patient is comprehensively scanned through medical ultrasonic imaging equipment, and an obtained image is made into an image single sheet; then, classifying the single sheets according to a certain rule, wherein the classification specification reasonably classifies the single sheets according to each part of a body to form a plurality of different single sheet sets; arranging the influence single chips which are collected together according to the sequence of the detection time, and storing the single chip set into a database.
The information downloading module: when doctors or experts in different departments need to carry out pathological analysis on patients, corresponding single-chip sets are called from the database; secondly, sorting for the second time according to the diagnosis requirement of a doctor to finally obtain the sorting of the image single sheets which can be output; the image single sheets which are output one by one are firstly integrated with the image pictures of the normal physical conditions stored in the system to form a contrast page, and finally the contrast page is output through the image output unit, so that the image single sheets can be used for analysis and diagnosis of doctors and experts.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. A pathology analysis system based on comprehensive images is characterized by comprising an information uploading module and an information downloading module;
the information uploading module consists of an image acquisition unit, an image distinguishing unit, an image converging unit and an image storage unit;
the information downloading module consists of an image calling unit, an image analyzing unit, an image combining unit and an image output unit;
the information uploading module is used for scanning images of all parts of the body of a patient, the images are respectively manufactured into image single sheets to be classified and stored in a database, and the information downloading module is used for calling the image single sheets in the database, integrating the image single sheets with normal body images and outputting the image single sheets for comparison.
2. The integrated image-based pathology analysis system according to claim 1, wherein said image acquisition unit uses X-ray or ultrasound to acquire images of the patient's body and make them into a single image.
3. The integrated image-based pathology analysis system according to claim 2, wherein the image differentiation unit classifies the acquired image slices according to different body parts.
4. The integrated image-based pathology analysis system according to claim 2, wherein the image differentiation unit classifies the collected image slices according to different differences of the nature of the injury.
5. The integrated-image-based pathology analysis system according to claim 3 or 4, wherein the image fusion unit arranges the classified image slices one by one in order and stores the sorted image slices in the database by using the image storage unit.
6. The integrated image based pathology analysis system of claim 1, wherein the image retrieving unit retrieves an image slice from a database and sends the image slice to the image analysis unit for analysis.
7. The integrated image based pathology analysis system according to claim 6, wherein the image analysis unit comprises the following steps:
s1, type analysis: analyzing the image single chip taken out according to the diagnosis needs of different departments;
s2, priority ordering: sequencing the called image single sheets according to the diagnosis sequence of different departments;
s3, feature contrast: and comparing the sorted image single slice with the normal image single slice.
8. The integrated image based pathology analysis system of claim 1, wherein the image combination unit combines the adjusted body image of the patient and the normal image on the same page to form a contrast page.
9. The integrated image based pathology analysis system of claim 8, wherein the image output unit outputs the comparison page for pathology analysis.
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Cited By (1)
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CN113808738A (en) * | 2021-09-18 | 2021-12-17 | 安徽爱朋科技有限公司 | Disease identification system based on self-identification image |
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Publication number | Priority date | Publication date | Assignee | Title |
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CN113808738A (en) * | 2021-09-18 | 2021-12-17 | 安徽爱朋科技有限公司 | Disease identification system based on self-identification image |
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