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cs.CV2025
Boundary-Aware Test-Time Adaptation for Zero-Shot Medical Image Segmentation
Chenlin Xu, Lei Zhang, Lituan Wang +5
Due to the scarcity of annotated data and the substantial computational costs of model, conventional tuning methods in medical image segmentation face critical challenges. Current…
cs.CV2025
EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation
Wang Lituan, Zhang Lei, Wang Yan +3
Weakly-supervised medical image segmentation is gaining traction as it requires only rough annotations rather than accurate pixel-to-pixel labels, thereby reducing the workload for…