20 citations · 22 across the 13 of their papers we have counts for
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cs.CV2023★ 2 cited
FSDA-DG: Improving Cross-Domain Generalizability of Medical Image Segmentation with Few Source Domain Annotations
Zanting Ye, Ke Wang, Wenbing Lv +2
Deep learning-based medical image segmentation faces significant challenges arising from limited labeled data and domain shifts. While prior approaches have primarily addressed the…
cs.CV2023★ 20 cited
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization
Ke Wang, Zanting Ye, Xiang Xie +3
Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent…