GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation
Lin F, Xia Y, Macraild M, Deo Y, Dou H, Liu Q, Cheng N, Ravikumar N, Frangi AF (2024)
Publication Type: Conference contribution
Publication year: 2024
Journal
Publisher: IEEE Computer Society
Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging
Event location: Athens, GRC
ISBN: 9798350313338
DOI: 10.1109/ISBI56570.2024.10635397
Abstract
The automated segmentation of cerebral aneurysms is pivotal for accurate diagnosis and treatment planning. Confronted with significant domain shifts and class imbalance in 3D Rotational Angiography (3DRA) data from various medical institutions, the task becomes challenging. These shifts include differences in image appearance, intensity distribution, resolution, and aneurysm size, all of which complicate the segmentation process. To tackle these issues, we propose a novel domain generalization strategy that employs gradient surgery exponential moving average (GS-EMA) optimization technique coupled with boundary-aware contrastive learning (BACL). Our approach is distinct in its ability to adapt to new, unseen domains by learning domain-invariant features, thereby improving the robustness and accuracy of aneurysm segmentation across diverse clinical datasets. The results demonstrate that our proposed approach can extract more domain-invariant features, minimizing over-segmentation and capturing more complete aneurysm structures.
Involved external institutions
United Kingdom (GB)How to cite
APA:
Lin, F., Xia, Y., Macraild, M., Deo, Y., Dou, H., Liu, Q.,... Frangi, A.F. (2024). GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation. In Proceedings - International Symposium on Biomedical Imaging. Athens, GRC: IEEE Computer Society.
MLA:
Lin, Fengming, et al. "GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation." Proceedings of the 21st IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, GRC IEEE Computer Society, 2024.
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