Intelligent psoriasis diagnosis system based on residual network

Abstract

An intelligent psoriasis diagnosis system based on a residual network provided by the present invention comprises a database and a system login module, the database is connected with the system login module through a wireless communication technology, and the database comprises an information uploading module, an image capturing module, an intelligent diagnosis module and a result output module. The information uploading module is used for collecting user information and transmitting information data into the image capturing module, the image capturing module is used for capturing image information in the information data and transmitting the image information into the intelligent diagnosis module, a residual error network model is arranged in the intelligent diagnosis module, the residual network model is used for processing and judging the data, according to the intelligent psoriasis diagnosis system based on the residual network, a patient can conveniently and autonomously carry out online query and diagnosis, so that the time spent by the patient is greatly shortened, an intelligent diagnosis module based on the residual network is facilitated, and the result can be quickly and effectively processed and judged.

Description

technical field [0001] The invention relates to the technical field of diagnosis systems, in particular to an intelligent diagnosis system for psoriasis based on a residual network. Background technique [0002] Psoriasis, commonly known as psoriasis, is a chronic inflammatory skin disease with a long course of disease and a tendency to relapse. Some cases are almost unhealed for life. The disease mainly occurs in young adults and affects the physical health and mental status of patients. Larger, the clinical manifestations are mainly erythema and scales, and the disease can occur all over the body. The scalp and extremities are more common, and it is usually aggravated in winter; [0003] For patients, the diagnosis of psoriasis requires patients to go to their respective local hospitals for diagnosis, which takes a lot of time, and because of this time, various events in the patient's life need to be adjusted, so as to spare part of the time It is inconvenient to come and...

AI Technical Summary

Problems solved by technology

[0003] For patients, the diagnosis of psoriasis requires patients to go to their respective local hospitals for diagnosis, which takes a lot of time, and because of this time, various events in the patient's life need to be adjusted, so as to spare part of the time It is inconvenient to come and go to the hospital for diagnosis;

[0004] When self-diagnosing patients online using the diagnostic system, because in the neural network model, as the network depth increases, the performance of the network gradually increases to saturation, and then declines rapidly, which will naturally lead to training errors during the model training process. The result accuracy will be lower, so the present invention proposes a kind of psoriasis intelligent diagnosis system based on residual network to solve the problems existing in the prior art

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