185 citations · 352 across the 19 of their papers we have counts for
13 papers · 1 filter
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation
Ran Gu, Guotai Wang, Jiangshan Lu +8
Generalization to previously unseen images with potential domain shifts and different styles is essential for clinically applicable medical image segmentation, and the ability to d…
Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation
Ran Gu, Jiangshan Lu, Jingyang Zhang +4
Efficiently utilizing discriminative features is crucial for convolutional neural networks to achieve remarkable performance in medical image segmentation and is also important for…
Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation
Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji +2
Precise localization of polyp is crucial for early cancer screening in gastrointestinal endoscopy. Videos given by endoscopy bring both richer contextual information as well as mor…
Hybrid Supervision Learning for Pathology Whole Slide Image Classification
Jiahui Li, Wen Chen, Xiaodi Huang +5
Weak supervision learning on classification labels has demonstrated high performance in various tasks, while a few pixel-level fine annotations are also affordable. Naturally a que…
Multi-Compound Transformer for Accurate Biomedical Image Segmentation
Yuanfeng Ji, Ruimao Zhang, Huijie Wang +4
The recent vision transformer(i.e.for image classification) learns non-local attentive interaction of different patch tokens. However, prior arts miss learning the cross-scale depe…
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation
Jinxi Xiang, Zhuowei Li, Wenji Wang +2
Deep learning has demonstrated significant improvements in medical image segmentation using a sufficiently large amount of training data with manual labels. Acquiring well-represen…