Beyond Multiple Instance Learning: Full Resolution All-In-Memory
End-To-End Pathology Slide Modeling

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Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling

7 March 2024

Gabriele Campanella

Chad M. Vanderbilt

Thomas J. Fuchs

ArXiv (abs)PDF HTML

Papers citing "Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling"

7 / 7 papers shown

Title
Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images Gabriele Campanella Ricky Kwan Eugene Fluder Jennifer Zeng A. Stock ... Adam J. Schoenfeld Chad M. Vanderbilt P. Kovatch Carlos Cordon-Cardo Thomas J. Fuchs MedIm 98 26 0 10 Oct 2023
Virchow: A Million-Slide Digital Pathology Foundation Model Eugene Vorontsov Alican Bozkurt Adam Casson George Shaikovski Michal Zelechowski ... Razik Yousfi Christopher Kanan David Klimstra B. Rothrock Thomas J. Fuchs MedIm 57 90 0 14 Sep 2023
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma Gabriele Campanella D. J. Ho I. Häggström Anton S. Becker Jason C. Chang Chad M. Vanderbilt Thomas J. Fuchs 38 8 0 21 Jun 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning Richard J. Chen Chengkuan Chen Yicong Li Tiffany Y. Chen A. Trister Rahul G. Krishnan Faisal Mahmood ViT MedIm 96 427 0 06 Jun 2022
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification Zhucheng Shao Hao Bian Yang Chen Yifeng Wang Jian Zhang Xiangyang Ji Yongbing Zhang ViT MedIm 95 674 0 02 Jun 2021
Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels H. Pinckaers W. Bulten J. A. van der Laak G. Litjens MedIm 67 74 0 05 Jun 2020
Streaming convolutional neural networks for end-to-end learning with multi-megapixel images H. Pinckaers Bram van Ginneken G. Litjens MedIm 58 94 0 11 Nov 2019

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