Brain auxiliary diagnosis system

Abstract

The invention relates to a brain auxiliary diagnosis system which effectively assists primary doctors in diagnosing specialized brain diseases. The system comprises a medical image browsing module which is responsible for storing and displaying a brain CT image file and providing a paintbrush tool for a doctor to mark a suspected focus point area, a data preprocessing module responsible for splicing and establishing a unique feature fingerprint of the image file and marking coordinate points of an area, a network transfer module responsible for sending a similar data set C to the medical imagebrowsing module, a data analysis module responsible for analyzing a received information carrier to obtain a suspected lesion file fingerprint instruction and a coordinate instruction, a matching model module responsible for establishing a feature fingerprint database, a medical information database and an image database, calculating similarity and determining a similar target set B, and a database searching and mapping module used for obtaining illness state data and an image file, and determining a similar target set C relative to the B and taking the C as the input of the network transfermodule.

Description

technical field [0001] The invention relates to a medical device, in particular to a brain aided diagnosis system. Background technique [0002] With the continuous development of computer technology, especially visualization technology, modern medicine has become more and more inseparable from medical image information, and the storage and transmission of medical images have also been further improved. They are playing an important role in clinical diagnosis and medical research. It plays an extremely important role. When using imaging diagnostic software, basic-level radiologists, based on their own limited knowledge and information on images of certain brain lesions, especially those in remote areas, cannot accurately judge the brain lesions. internal disease. [0003] Therefore, there is an urgent need for a brain-aided diagnosis system to improve the work efficiency of doctors. [0004] In the existing technology, there are solutions using AI deep learning to intellig...

AI Technical Summary

Problems solved by technology

[0004] In the existing technology, there are solutions using AI deep learning to intelligently judge and label suspected lesions in patient pictures, but most of the current systems use public datasets or single-center datasets for training, and the generalization and The robustness needs to be tested, and the data quality is uneven, etc. To solve these problems will increase the investment cost in the early stage. At the same time, the solution is too dependent on the machine algorithm. Once the machine has a problem, it cannot be correctly identified or an error occurs identification point, will produce medical malpractice

Secondly, even if the algorithm recognition rate of machine learning is high, it will make doctors rely on machines, and doctors cannot improve their professional skills.

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