22 citations · 38 across the 5 of their papers we have counts for
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eess.IV2022★ 22 cited
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels
Chenyu You, Weicheng Dai, Fenglin Liu +6
Recent studies on contrastive learning have achieved remarkable performance solely by leveraging few labels in the context of medical image segmentation. Existing methods mainly fo…
cs.LG2022★ 6 cited
Deep Reinforcement Learning for Multi-class Imbalanced Training
Jenny Yang, Rasheed El-Bouri, Odhran O'Donoghue +3
With the rapid growth of memory and computing power, datasets are becoming increasingly complex and imbalanced. This is especially severe in the context of clinical data, where the…