Breast ultrasound image style conversion method and device, breast scanning equipment and medium

Abstract

The invention discloses a breast ultrasound image style conversion method. The method comprises the steps of acquiring an original image and a style image; loading a pre-trained convolutional neural network, and extracting content features of the original image and style features of the style image through the pre-trained convolutional neural network; respectively defining a content loss functionbetween the generated image and the original image and a style loss function between the generated image and the style image according to the content features and the style features; defining a totalloss function of the generated image according to the content loss function and the style loss function; and performing iterative operation on the generated image through a gradient descent algorithmuntil the total loss function is converged. According to the breast ultrasonic image style conversion method, breast ultrasonic images of other styles can be converted into the target style, the converted breast ultrasonic images can serve as a data set for deep learning of intelligent diagnosis, and therefore the breast ultrasonic images of various styles do not need to be collected, and the collection cost of the breast ultrasonic images is reduced.

Description

technical field

[0001] The invention relates to the field of breast ultrasound image processing, in particular to a breast ultrasound image style conversion method, device, breast scanning equipment and medium. Background technique

[0002] Breast ultrasound images are medical images obtained after ultrasonic scanning of human breasts. After obtaining breast ultrasound images, doctors in the medical imaging department will read the breast ultrasound images to give diagnostic results.

[0003] According to incomplete statistics, the annual growth rate of the number of breast ultrasound images is about 30%, while the annual growth rate of the number of doctors is about 4.1%, resulting in a very heavy workload for medical imaging doctors. In the case of a heavy workload in film reading, doctors are prone to fatigue and may make mistakes in film reading. For this reason, a breast ultrasound intelligent diagnosis method has emerged to replace the traditional doctor's diagnostic ...

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