Oral mucosal disease detection model construction and prediction method and device, terminal and medium

Abstract

According to the oral mucosal disease detection model construction and prediction method and device, the terminal and the medium provided by the invention, an oral mucosal disease auxiliary diagnosis system is constructed by utilizing a computational vision technology to detect, segment and identify an oral white lesion map, so that a doctor can be helped to quickly position the part and the form of the oral mucosal white lesion, and the doctor can be assisted to make a diagnosis. The method has the following advantages: (1) the computer vision technology can strengthen expression of medical images and can observe subtle differences, including characteristics of parts, colors, forms, areas and the like, of oral white lesions, and the vision algorithm can perform multidirectional analysis on the images and capture changes which are not easily perceived by human eyes; (2) the diagnosis levels of doctors on the oral mucosal disease are different, and the standardized visual model can make more accurate and more standard diagnosis; and (3) intelligent equipment with a good visual algorithm can be applied to thousands of households and common families in the future to help people to monitor the oral health condition by themselves, so that the medical expenditure is reduced.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence models, in particular to a method, a device, a terminal and a medium for constructing and predicting a detection model of an oral mucosal disease. Background technique [0002] Artificial Intelligence (AI) medical care has become the most important application field of artificial intelligence, and has increasingly become the focus of current research. As machine learning matures, AI will make more accurate diagnoses based on data learning from millions of patients. Medical imaging is considered to be one of the fields where artificial intelligence is most likely to land. Disease screening is of great significance to the people and the country, and imaging examination is an important part of early disease screening. The introduction of AI medical care will help improve the work efficiency of the imaging department, reduce the workload of medical staff, reduce the occurrence of misd...

AI Technical Summary

Problems solved by technology

[0005] Although the current artificial intelligence technology has made great progress in medical image processing and auxiliary diagnosis, there are relatively few related studies on oral mucosal diseases.

In addition, at present, computer vision technology is rarely applied to the auxiliary diagnosis of oral mucosal white marking diseases (oral leukoplakia, oral lichen planus / oral lichenoid lesions, oral white hyperkeratosis)

Images