Lung disease auxiliary diagnosis cloud platform based on deep learning

Abstract

The invention discloses a lung disease auxiliary diagnosis cloud platform. The platform comprises two parts: one part is a neural network designed and trained for chest radiography characteristics based on deep learning, and the other part is used for uploading a trained model to a server and building a cloud platform with complete functions for the public and doctors to use. The invention is to solve the problems of poor effect and low accuracy of diagnosis of various lung diseases by using a neural network and lack of corresponding products available for the public in the prior art. Compared with the result of a previous research team, the accuracy of the platform in diagnosis of most lung diseases is improved. The platform is simple, convenient and rapid to use and supports data analysis and storage, wherein a user can freely perform multiple operations on the data. Meanwhile, the platform is high in expansibility and supports subsequent recognition of more diseases and butt joint with medical instruments.

Description

Technical field: [0001] The present invention relates to the application of artificial intelligence in the field of medical image processing and diagnosis, especially to the processing and analysis of chest X-ray films, and more specifically, to a cloud platform for auxiliary diagnosis of lung diseases based on deep learning. Background technique: [0002] Chest disease has become a common condition among contemporary people. Lung cancer ranks first in the list of cancers. In the field of clinical diagnosis of chest diseases, chest X-ray film is referred to as chest film, and it is an effective, commonly used and cheap means to use it for inspection. In my country, a large tertiary hospital obtains more than 40,000 chest radiographs per year from outpatients alone. In addition, chest X-ray is a routine physical examination item in my country. Statistics show that in 2017, nearly 500 million people underwent physical examination in China. With the improvement of people's ...

AI Technical Summary

Problems solved by technology

The training cycle of radiologists is long and requires extensive experience to complete high-intensity chest radiographic diagnostic tasks

On the other hand, ordinary people do not have professional knowledge and experience, so it is difficult to interpret and understand a diagnostic report, and doctors need to explain it in detail

In summary, chest radiograph diagnosis is still a heavy task for physicians, and it is difficult to improve the situation rapidly in the short term in the future

[0004] Chinese patent CN109410107A "a cloud platform system for disease screening" stores case data in the cloud, but does not realize the cloud to process the data. Chinese patent CN 110797097A "artificial intelligence cloud diagnosis platform" further proposes a cloud data processing This method is only limited to the diagnosis of cancer cells, and it is difficult to promote it to the crowd

Chinese patent CN111128396A "An Auxiliary Diagnosis System for Gastrointestinal Diseases Based on Deep Learning" proposes a relatively complete system for gastrointestinal diseases, but the system is highly specialized and poorly expandable

[0005] In view of the above problems, the present invention proposes a cloud platform for auxiliary diagnosis of lung diseases based on deep learning technology, which aims to solve the problems of poor effect and low accuracy in the diagnosis of various lung diseases by using neural networks and the lack of corresponding Issues with products available to the general public

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