A stroke lesion segmentation method based on multi-scale and cascade attention mechanisms

Buyong Cao; Shuwang Zhou; Xinyang Shi; Ankun Li; Chenggang Lu; Jiong Zhang

doi:10.1117/12.3057738

13 February 2025 A stroke lesion segmentation method based on multi-scale and cascade attention mechanisms

Buyong Cao, Shuwang Zhou, Xinyang Shi, Ankun Li, Chenggang Lu, Jiong Zhang

Author Affiliations +

Proceedings Volume 13539, Sixteenth International Conference on Graphics and Image Processing (ICGIP 2024); 135390H (2025) https://doi.org/10.1117/12.3057738
Event: Sixteenth International Conference on Graphics and Image Processing (ICGIP 2024), 2024, Nanjing, China

Abstract

Stroke, as a disease with high incidence and mortality rates, is increasingly receiving attention. Despite the rapid development of deep learning in the medical field providing excellent performance for AI-assisted diagnosis, automated segmentation of stroke still poses significant challenges. Issues such as the similarity between hemorrhagic regions and the background, the irregularity of hemorrhagic areas, and the vast variability in hemorrhage sizes persist. To address these segmentation challenges, this paper introduces a new network architecture that incorporates a multi-scale channel joint attention module and cascaded feature assisted enhancement module, taking into account the anisotropy and asymmetry of images. This method aims to accurately segment lesion tissues from chronic stroke brain images in T1- weighted MRI. Experimental results have demonstrated that the method proposed in this paper achieves superior performance outcomes compared to other methods. This study provides a promising solution for stroke segmentation.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Buyong Cao, Shuwang Zhou, Xinyang Shi, Ankun Li, Chenggang Lu, and Jiong Zhang "A stroke lesion segmentation method based on multi-scale and cascade attention mechanisms", Proc. SPIE 13539, Sixteenth International Conference on Graphics and Image Processing (ICGIP 2024), 135390H (13 February 2025); https://doi.org/10.1117/12.3057738

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