2 citations · 3 across the 6 of their papers we have counts for
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cs.CV2022★ 2 cited
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification
Chenghua Zeng, Huijuan Lu, Kanghao Chen +2
Data imbalance between common and rare diseases during model training often causes intelligent diagnosis systems to have biased predictions towards common diseases. The state-of-th…
cs.CV2022★ 1 cited
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification
Kanghao Chen, Weixian Lei, Rong Zhang +3
Imbalanced training data is a significant challenge for medical image classification. In this study, we propose a novel Progressive Class-Center Triplet (PCCT) framework to allevia…