Real time musculoskeletal ultrasound image annotations
Part Of
Proceedings of SPIE - The International Society for Optical Engineering
Journal Volume
13487
Start Page
10
ISBN (of the container)
978-151068763-9
ISBN
[9781510687639]
Date Issued
2025-01-01
Author(s)
Editor(s)
Kishan Dholakia
Toyohiko Yatagai
Shuji Sakabe
Irina Sorokina
Din Ping Tsai
DOI
10.1117/12.3052319
Abstract
Ultrasound is a commonly used tool for diagnosing musculoskeletal disorders. However, interpreting musculoskeletal ultrasound images requires significant expertise due to the complexity of the anatomical structures involved. Developing such skills typically requires extensive training and experience under professional supervision. To streamline this learning process, we have developed an automated annotation system using deep learning neural networks. This system assists in the real-time identification of anatomical structures and has been successfully adapted for clinical use, improving the interpretation of musculoskeletal ultrasound images.
Event(s)
Optics and Photonics International Congress 2024, OPIC 2024
Publisher
SPIE
Type
conference paper