Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning

19 October 2023

Papers citing "Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning"

5 / 5 papers shown

Title
Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review Jack Breen Katie Allen K. Zucker P. Adusumilli A. Scarsbrook Geoff Hall Nicolas M. Orsi Nishant Ravikumar 54 32 0 31 Mar 2023
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning Jack Breen Katie Allen K. Zucker Geoff Hall Nicolas M. Orsi Nishant Ravikumar MedIm 26 9 0 17 Feb 2023
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 94 423 0 06 Jun 2022
Self supervised contrastive learning for digital histopathology Ozan Ciga Tony Xu Anne L. Martel SSL 148 318 0 27 Nov 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 364 18,752 0 13 Feb 2020