Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology

3 June 2022

Papers citing "Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology"

4 / 4 papers shown

Title
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Ali Mammadov Loic Le Folgoc Julien Adam Anne Buronfosse Gilles Hayem Guillaume Hocquet Pietro Gori SSL 42 0 0 02 May 2025
Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis Honglin Li Yunlong Zhang Pingyi Chen Zhongyi Shui Chenglu Zhu Lin Yang MedIm 32 4 0 18 Oct 2024
A self-supervised framework for learning whole slide representations X. Hou Cheng Jiang A. Kondepudi Yiwei Lyu Asadur Chowdury Honglak Lee Todd C. Hollon MedIm 26 5 0 09 Feb 2024
Artificial Intelligence for Digital and Computational Pathology Andrew H. Song Guillaume Jaume Drew F. K. Williamson Ming Y. Lu Anurag J. Vaidya Tiffany R. Miller Faisal Mahmood AI4CE 30 129 0 13 Dec 2023