Focus image generation method and device, electronic equipment and storage medium

An image generation and lesion technology, applied in the field of artificial intelligence, can solve problems such as excessive texture, unbalanced lesion data volume, long time, human and material costs, etc.
CN114419087APending Publication Date: 2022-04-29PING AN TECH (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
PING AN TECH (SHENZHEN) CO LTD
Publication Date
2022-04-29

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Abstract

The invention discloses a lesion image generation method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the image recognition processing of each historical lesion image in at least one historical lesion image, and obtaining at least one mask image in one-to-one correspondence with the at least one historical lesion image; performing superposition processing on each mask image and the corresponding historical focus image to obtain at least one superposition image in one-to-one correspondence with the at least one mask image; training an improved cyclic adversarial neural network according to the at least one superimposed image, the at least one mask image and the at least one historical lesion image to obtain a lesion image generation network; acquiring an original image of a to-be-generated focus; randomly selecting one or more images from the at least one mask image, and carrying out superposition processing on the selected one or more images and the original image to obtain a to-be-processed image; and inputting the to-be-processed image into the focus image generation network to generate a focus image.
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Description

technical field

[0001] The present invention relates to the technical field of artificial intelligence, in particular to a lesion image generation method, device, electronic equipment and storage medium. Background technique

[0002] With the gradual digitization of imaging equipment and the development of computer communication technology, digital image transmission and electronic film came into being. Many traditional hospitals have transformed into digital hospitals one after another. This not only speeds up the efficiency of outpatient consultation, but also increases doctors' attention to medical imaging data. Audit volume. Therefore, using deep learning technology to realize intelligent diagnosis and assistance of medical images to reduce the workload of doctors has become a current research hotspot. Generally speaking, deep learning technology realizes the training of the model by learning the characteristics of the data independently through the network. The perform...

Claims

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