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cs.CV2025
Semantic Data Augmentation Enhanced Invariant Risk Minimization for Medical Image Domain Generalization
Yaoyao Zhu, Xiuding Cai, Yingkai Wang +3
Deep learning has achieved remarkable success in medical image classification. However, its clinical application is often hindered by data heterogeneity caused by variations in sca…
cs.CV2025
Learning Semantic Directions for Feature Augmentation in Domain-Generalized Medical Segmentation
Yingkai Wang, Yaoyao Zhu, Xiuding Cai +3
Medical image segmentation plays a crucial role in clinical workflows, but domain shift often leads to performance degradation when models are applied to unseen clinical domains. T…
cs.CV2024
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification
Yaoyao Zhu, Xiuding Cai, Xueyao Wang +3
Data augmentation is a crucial regularization technique for deep neural networks, particularly in medical image classification. Mainstream data augmentation (DA) methods are usuall…