Diagnosis method and device for diagnosing various diseases, electronic equipment and storage medium

Abstract

The invention discloses a diagnosis method and device for diagnosing various diseases, electronic equipment and a storage medium, and relates to the technical field of medical data processing, and the main technical scheme comprises the following steps: respectively inputting medical image information corresponding to at least two diseases into different preset diagnosis networks in a preset diagnosis model, the method comprises the following steps: acquiring medical image information corresponding to at least two types of diseases in a preset diagnosis model, so that a preset diagnosis network determines feature information corresponding to the medical image information, performing fusion calculation on different feature information, learning the fused feature information based on a preset classifier in the preset diagnosis model, and outputting a diagnosis result cooperatively processed according to the medical image information corresponding to the at least two types of diseases. Compared with the prior art, the fusion processing is performed by using the correlation between the medical image information corresponding to the at least two types of diseases, and different diseases and tasks can cooperate with each other for promotion and information supplementation, so that the dependence on medical data is effectively reduced, and the system reasoning time is shortened at the same time.

Description

technical field [0001] The present disclosure relates to the technical field of medical data processing, and in particular, to a diagnosis method and device, electronic equipment and storage medium for diagnosing multiple types of diseases. Background technique [0002] The use of information technology to promote the automatic and intelligent analysis of brain medical images has been a hot topic in academia and industry. In recent years, with the development of deep learning technology, many diagnostic systems based on deep neural networks have become more and more common in the diagnosis of some brain diseases. However, due to the wide variety of brain diseases and diverse diagnostic tasks, it is very difficult to build a system that can cover most of the diagnostic tasks. [0003] In order to improve the diagnostic efficiency, the strategies adopted by the existing methods are usually: for each diagnostic task, collect medical image data of related diseases, and construc...

AI Technical Summary

Problems solved by technology

Its main purpose is to solve the problem that each disease diagnosis task has its own independent reasoning network. If there are many disease diagnosis tasks, the reasoning time is huge.

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