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

A semantic segmentation and semi-supervised technology, applied in the field of image recognition, can solve problems such as time-consuming, large differences in shape and texture between musculoskeletal individuals, and increased labor and time costs, so as to save manpower and time costs and improve The effect of medical efficiency

Active Publication Date: 2020-11-20
SICHUAN CANCER HOSPITAL
View PDF11 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Shoulder muscle bone ultrasonic structure segmentation method based on semi-supervised semantic segmentation
  • Shoulder muscle bone ultrasonic structure segmentation method based on semi-supervised semantic segmentation
  • Shoulder muscle bone ultrasonic structure segmentation method based on semi-supervised semantic segmentation

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0044] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings herein may be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work shall fall within the protection scope of the present invention.

[0045] It shoul...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/10G06K9/62G06N3/04G06N3/08
CPCG06T7/10G06N3/084G06T2207/10132G06T2207/30008G06N3/045G06F18/2411
Inventor 卢漫程建王璐刘鑫陈玉兰张斯棋
Owner SICHUAN CANCER HOSPITAL
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products