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Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation
The domain shift in pathological segmentation is an important problem, w...
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Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images
Pathological image analysis is an important process for detecting abnorm...
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Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification
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Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration
Transparency of Machine Learning models used for decision support in var...
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Non-readily identifiable data collaboration analysis for multiple datasets including personal information
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