Digestive tract early cancer auxiliary diagnosis system based on depth learning and examination device

Abstract

The invention provides a digestive tract early cancer auxiliary diagnosis system based on depth learning and an examination device. The system comprises a feature extraction network, an image classification model, an endoscope classifier and an early cancer recognition model, wherein the feature extraction network is used for performing initial feature extraction on endoscope images according to aneural network model; the image classification model is used for extracting initial features and acquiring image classification features; the endoscope classifier is used for extracting initial features to obtain endoscope classification features and classifying gastroscope and coloscope images; the early cancer recognition model is used for splicing initial features, endoscope classification features and image classification features to obtain the probability of early cancer focuses of white light images, electronic straining images or chemical straining images corresponding parts or obtainwashing prompt or position recognition prompt of corresponding parts. The AI auxiliary diagnosis quality and digestive endoscopy diagnosis efficiency are improved.

Description

technical field [0001] The invention relates to medical inspection equipment, in particular to an auxiliary diagnosis system and inspection device for early digestive tract cancer. Background technique [0002] With the development of artificial intelligence technology based on deep learning, the application of artificial intelligence in the field of medical imaging diagnosis has attracted more and more attention. Through artificial intelligence technology, it can automatically judge possible lesions based on medical images, and complete automatic screening of medical images. At present, artificial intelligence technology has been widely studied in various fields such as breast cancer pathological examination, lung cancer detection, and cardiovascular imaging. [0003] Gastrointestinal diseases are frequently-occurring and common diseases, which seriously threaten people's life and health. Digestive endoscopy and chromoendoscopy are the first choice for diagnosing gastroin...

AI Technical Summary

Problems solved by technology

[0008] At present, in order to realize the screening of early digestive tract cancers through the diagnosis of digestive endoscopy in our country, we still face the following main problems: large hospitals have a large number of check-ups, and the doctors are tired of work; small hospitals have a small number of check-ups, and the work of doctors is extremely unsaturated ; Doctors have a long training period, and the improvement of their diagnostic level is slow; during the inspection process, they often encounter blurred vision, weak cleaning methods, time-consuming and poor results; dyeing solutions used in chromoendoscopy are not complete, and doctors' self-made methods vary greatly, and the concentration used is not uniform , the methods of use vary greatly, and it is impossible to form a standardized diagnostic map

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