Shoulder muscle bone ultrasonic structure segmentation method based on semi-supervised semantic segmentation

Abstract

The invention relates to a shoulder muscle bone ultrasonic structure segmentation method based on semi-supervised semantic segmentation. The method comprises the following steps: carrying out the preprocessing of a plurality of obtained tangent plane muscle bone ultrasonic images, and obtaining a strong annotation image set and a weak annotation image set after annotation; training the generationnetwork and the discrimination network by using the tangent plane muscle bone ultrasonic images in the labeled strong labeled image set, and performing reverse optimization training on the generationnetwork by using the tangent plane muscle bone ultrasonic images in the labeled weak labeled image set to obtain a total generation network; inputting the shoulder muscle bone ultrasonic image into the trained total generative network to obtain a shoulder muscle bone ultrasonic structure segmentation image. According to the intelligent identification method for the segmented muscle bone ultrasonicimage, the manpower and time cost in the medical treatment process is reduced, and the medical treatment efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a shoulder musculoskeletal ultrasound structure segmentation method based on semi-supervised semantic segmentation. Background technique [0002] Musculoskeletal ultrasound is an emerging ultrasound examination technology in recent years. The application of high-frequency ultrasound can clearly display superficial soft tissue structures such as muscles, tendons, ligaments, and peripheral nerves. However, due to the large differences in shape and texture between musculoskeletal ultrasound images The problem of the problem causes physicians to spend a lot of time when segmenting and analyzing musculoskeletal ultrasound images, which leads to increased labor costs and time costs. Therefore, being able to design a method for intelligently identifying and segmenting musculoskeletal ultrasound images can save manpower and time costs in the medical process. Contents of the i...

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Problems solved by technology

[0002] Musculoskeletal ultrasound is an emerging ultrasound examination technology in recent years. The application of high-frequency ultrasound can clearly display superficial soft tissue structures such as muscles, tendons, ligaments, and peripheral nerves. However, due to the large differences in shape and texture between musculoskeletal ultrasound images The problem caused physicians to spend a lot of time when segmenting and analyzing musculoskeletal ultrasound images, which resulted in increased labor costs and time costs

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