Medical image classification processing system and method based on artificial intelligence

Abstract

The invention discloses a medical image classification processing system and method based on artificial intelligence. The method comprises the following steps: obtaining medical image information froma medical image information library; carrying out classification processing on the medical image information based on different body parts; establishing a medical evaluation model of each part of a human body based on the classified medical image information; carrying out training processing on the medical evaluation model of each part of the human body and keeping medical model parameters; receiving a medical examination image of a patient from a medical image acquisition terminal; identifying an examination part from the medical examination image of the patient, and obtaining correspondingmedical model parameters from a storage unit according to the examination part; and sending the medical examination image of the patient and the corresponding medical model parameters to a doctor workstation. The method can carry out feature classification on the medical images according to the different parts of the human body and train the medical model for a doctor to carry out medical examination reference, thereby facilitating improving medical examination efficiency and accuracy.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to an artificial intelligence-based medical image classification processing system and method. Background technique [0002] The amount of medical image data produced by medical institutions is very large, and the image data often contains a lot of potential information. At present, the medical market mainly relies on manual interpretation and analysis of medical images, which is inefficient and limited in information that can be mined, making it impossible to make full use of data resources. In recent years, with the rapid development of deep learning, various fields of machine learning, including computer vision, have been rapidly occupied by deep learning, and deep learning has achieved remarkable results in image recognition, speech recognition and other fields. As one of the important methods in machine learning, its powerful automatic feature extraction and c...

AI Technical Summary

Problems solved by technology

[0003] The main purpose of the present invention is to provide a medical image classification processing system and method based on artificial intelligence, aiming to solve the problem that the existing medical image auxiliary processing cannot perform feature classification training on medical images according to different parts of the human body and affect the accuracy of medical examinations question

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