Self supervised contrastive learning for digital histopathology

Self supervised contrastive learning for digital histopathology

27 November 2020

Papers citing "Self supervised contrastive learning for digital histopathology"

15 / 115 papers shown

Title
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification Thomas Stegmüller Behzad Bozorgtabar A. Spahr Jean-Philippe Thiran ViT MedIm 21 42 0 15 Feb 2022
Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images Q. Vu K. Rajpoot S. Raza Nasir M. Rajpoot ViT MedIm 17 33 0 14 Feb 2022
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications Karin Stacke Jonas Unger Claes Lundström Gabriel Eilertsen OOD SSL 21 25 0 10 Dec 2021
Extending the WILDS Benchmark for Unsupervised Adaptation Shiori Sagawa Pang Wei Koh Tony Lee Irena Gao Sang Michael Xie ... Kate Saenko Tatsunori Hashimoto Sergey Levine Chelsea Finn Percy Liang OOD 16 97 0 09 Dec 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning Aakash Kaku Sahana Upadhya N. Razavian SSL 21 29 0 27 Oct 2021
WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need Yoni Schirris Mendel Engelaer Andreas Panteli H. Horlings E. Gavves Jonas Teuwen 14 6 0 13 Sep 2021
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology Joseph Boyd Mykola Liashuha Eric Deutsch Nikos Paragios Stergios Christodoulidis Maria Vakalopoulou MedIm 11 34 0 07 Sep 2021
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification Dawid Rymarczyk Adam Pardyl Jaroslaw Kraus Aneta Kaczyńska M. Skomorowski Bartosz Zieliñski 17 21 0 24 Aug 2021
Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology C. Srinidhi Anne L. Martel 34 22 0 16 Aug 2021
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer Yoni Schirris E. Gavves I. Nederlof H. Horlings Jonas Teuwen 25 92 0 20 Jul 2021
HistoTransfer: Understanding Transfer Learning for Histopathology Yash Sharma L. Ehsan Sana Syed Donald E. Brown MedIm 21 21 0 13 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 569 0 27 May 2021
Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi Basil Mustafa Fiona Ryan Zach Beaver Jan Freyberg ... Alan Karthikesalingam Simon Kornblith Ting-Li Chen Vivek Natarajan Mohammad Norouzi SSL 19 504 0 13 Jan 2021
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 233 31,253 0 16 Jan 2013