research
∙
06/07/2023
ContriMix: Unsupervised disentanglement of content and attribute for domain generalization in microscopy image analysis
Domain generalization is critical for real-world applications of machine...
share
research
∙
05/03/2023
Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology
Machine learning algorithms have the potential to improve patient outcom...
research
∙
03/23/2023
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology
Multiple Instance learning (MIL) models have been extensively used in pa...
research
∙
11/14/2022
Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts
Histopathology images are gigapixel-sized and include features and infor...
research
∙
06/03/2022
Additive MIL: Intrinsic Interpretability for Pathology
Multiple Instance Learning (MIL) has been widely applied in pathology to...
research
∙
04/11/2022