Kidney disease automatic detection method and system based on machine learning

A kidney disease, automatic detection technology, applied in neural learning methods, medical automatic diagnosis, instruments, etc., can solve problems such as interpretation errors and misdiagnosis, achieve high accuracy, improve accuracy, improve optimization accuracy and convergence speed. Effect

CN114783593APending Publication Date: 2022-07-22罗学敏
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2022-07-22

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Abstract

The invention discloses a kidney disease automatic detection method and system based on machine learning, and the system comprises a kidney image collection module, a kidney image management module, a kidney image intelligent diagnosis module and a kidney disease classification module. Kidney images corresponding to the kidney disease types are stored and updated in the kidney image management module, the kidney disease types are inferred through the kidney image intelligent diagnosis module by utilizing a machine learning algorithm, and the kidney disease classification module classifies the diagnosed kidney diseases according to different kidney disease types. Therefore, efficient and accurate diagnosis of various kidney disease types is realized, and the kit has great significance in diagnosis and early screening of kidney diseases.
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Description

technical field

[0001] The present disclosure relates to systems and methods for image analysis and medical diagnostic testing using image analysis, and more particularly, the present disclosure relates to a method and system for automatic detection of kidney disease based on machine learning. Background technique

[0002] Medical imaging refers to the technology and process of obtaining internal images of the human body or a certain part of the human body in a non-invasive manner for medical treatment or medical research. With the rapid development of various science and technology, medical image processing technology has also made rapid progress, but with the development of science and technology and the promotion of medical image applications, more and more medical images need to be interpreted by doctors, and medical image interpretation is gradually become a challenging job. The traditional medical image interpretation and diagnosis process mainly relies on experienced...

Examples

Embodiment Construction

[0060] A method and system for automatic detection of kidney disease based on machine learning, including a kidney image collection module, a kidney image management module, a kidney impact intelligent diagnosis module and a kidney disease classification module;

[0061] Kidney image collection module: It is used to collect various types of kidney disease images of patients. The sources of kidney images include InterVar (site pathogenicity assessment), GeneReviews (disease database) and kidney images of patients in the hospital.

[0062] Kidney image management module: includes a kidney image pre-storage unit and a kidney image update unit. The kidney image pre-storage unit is used to pre-store various types of kidney images collected by the kidney image collection module. For kidney images with disease diagnosis labels, clean images with excessive noise, default or irrelevant images, and then update the kidney image training set;

[0063] The kidney image intelligent diagnosi...