Integrating high-level semantically correlated contents and low-level
an...
Medical data often exhibits long-tail distributions with heavy class
imb...
Recent studies on contrastive learning have achieved remarkable performa...
Learning spatial-temporal correspondences in cardiac motion from images ...
Contrastive learning has shown great promise over annotation scarcity
pr...
Many medical datasets have recently been created for medical image
segme...
Transformers have made remarkable progress towards modeling long-range
d...
Automated segmentation in medical image analysis is a challenging task t...
Automated segmentation in medical image analysis is a challenging task t...
Deep learning models have shown their advantage in many different tasks,...