Medical image generation method and device, electronic equipment and medium

Abstract

The invention relates to an artificial intelligence technology, and discloses a medical image generation method comprising the following steps: obtaining an original medical image, and preprocessing the original medical image to obtain a standard medical image; generating a first sample image set by using a medical image generation model according to the standard medical image; performing effective information amount calculation on the first sample image set, and selecting K first sample images corresponding to the effective information amount to obtain an effective image set, and inputting the effective image set and the standard medical image into an image discrimination model having a mutual constraint relationship with the image generation model for discrimination, and obtaining a discrimination result, adjusting parameters of the image discrimination model according to the discrimination result to obtain a standard image generation model, and inputting the original medical image into the standard image generation model to generate a final medical image. The method can solve a problem that the training of a medical image model consumes a large number of manpower resources.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method, device, electronic equipment, and computer-readable storage medium for generating medical images. Background technique [0002] With the development of science and technology, the level of medical treatment is getting higher and higher. In the field of medical health, medical images are of great significance for the study of diseases, prediction of diseases and the development of medical technology. However, the number of medical images containing enough medical information is small and the demand is great. Therefore, how to train an efficient and accurate medical image generation model to generate more medical images is becoming more and more important. [0003] At present, the generation of medical images needs to rely on medical experts with high professional knowledge to manually screen a large number of samples, and then input them into pre-...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a method, device, electronic equipment and computer-readable storage medium for generating medical images, the main purpose of which is to solve the problem of wasting a large amount of human resources in the training of medical image generation models

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