A novel MIL architecture predicts zero-inflated beta parameters for TPS distributions in NSCLC using slide-level supervision.
MIHIC: a multiplex IHC histopathological image classification dataset for lung cancer immune microenvironment quantification
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MARVEL introduces a multi-expert NvMF-based system with an outlier expert that reduces FPR95 in OOD detection on medical datasets by 8-37%.
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Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC
A novel MIL architecture predicts zero-inflated beta parameters for TPS distributions in NSCLC using slide-level supervision.
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MARVEL: Margin-Aware Robust von Mises-Fischer Expert Learning for Long-Tailed Out-of-Distribution Detection
MARVEL introduces a multi-expert NvMF-based system with an outlier expert that reduces FPR95 in OOD detection on medical datasets by 8-37%.