37 citations · 60 across the 9 of their papers we have counts for
3 papers · 1 filter
Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts
Jin Li, Deepta Rajan, Chintan Shah +7
Histopathology images are gigapixel-sized and include features and information at different resolutions. Collecting annotations in histopathology requires highly specialized pathol…
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology
Syed Ashar Javed, Dinkar Juyal, Harshith Padigela +3
Multiple Instance Learning (MIL) has been widely applied in pathology towards solving critical problems such as automating cancer diagnosis and grading, predicting patient prognosi…
Rethinking Machine Learning Model Evaluation in Pathology
Syed Ashar Javed, Dinkar Juyal, Zahil Shanis +3
Machine Learning has been applied to pathology images in research and clinical practice with promising outcomes. However, standard ML models often lack the rigorous evaluation requ…