Global contextual enhanced attention-guided domain adaptation for dual-energy x-ray image segmentation of ulna and radius

Yongxin Yang; Wei Wang; Xiaoming Jiang

doi:10.1117/12.3034137

13 June 2024 Global contextual enhanced attention-guided domain adaptation for dual-energy x-ray image segmentation of ulna and radius

Yongxin Yang, Wei Wang, Xiaoming Jiang

Author Affiliations +

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131804L (2024) https://doi.org/10.1117/12.3034137
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

Dual-energy X-ray absorptiometry (DXA) is the primary modality for bone mineral density (BMD), offering a reliable clinical indicator for orthopedic diagnosis and treatment. In practical applications, there are several factors that could lead to variations in the grayscale distribution of dual-energy X-ray images. The domain shift of the dual-energy X-ray images often makes neural networks used for ulna and radius segmentation ineffective, significantly impacting bone density detection. In this paper, we propose an unsupervised Global Contextual Enhanced Attention-guided Domain Adaptation (GCEADA) framework to enhance the performance of the network in the ulna and radius segmentation task of the target domain. The proposed method extracts global context information to enhance attention expression, obtaining more representative domain invariant features. We evaluate the GCEADA in two cross-domain tasks and conduct ablation experiments to assess the performance of each component. The results indicate that the proposed attention module effectively improves the feature extraction capability of the discriminator and the discriminability and transferability of the framework.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yongxin Yang, Wei Wang, and Xiaoming Jiang "Global contextual enhanced attention-guided domain adaptation for dual-energy x-ray image segmentation of ulna and radius", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131804L (13 June 2024); https://doi.org/10.1117/12.3034137

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Education and training

X-ray imaging

X-rays

Bone

Dual energy x-ray absorptiometry

Feature extraction

Show All Keywords

Keywords/Phrases

Search In:

Publication Years