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20192025
most citedAdditive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology

37 citations · 78 across the 8 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

eess.IV2024

Learning biologically relevant features in a pathology foundation model using sparse autoencoders

Nhat Minh Le, Ciyue Shen, Neel Patel +13

Pathology plays an important role in disease diagnosis, treatment decision-making and drug development. Previous works on interpretability for machine learning models on pathology…

eess.IV2024★ 8 cited

PLUTO: Pathology-Universal Transformer

Dinkar Juyal, Harshith Padigela, Chintan Shah +30

Pathology is the study of microscopic inspection of tissue, and a pathology diagnosis is often the medical gold standard to diagnose disease. Pathology images provide a unique chal…