Adversarial learning of cancer tissue representations

Adversarial learning of cancer tissue representations

4 August 2021

Roderick Murray-Smith

Papers citing "Adversarial learning of cancer tissue representations"

9 / 9 papers shown

Title
Synthetic Privileged Information Enhances Medical Image Representation Learning Lucas Farndale Chris Walsh R. Insall Ke Yuan 14 1 0 08 Mar 2024
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 32 3 0 29 Feb 2024
GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation Vishnuvardhan Purma Suhas Srinath Seshan Srirangarajan A. Kakkar Prathosh A.P. MedIm DiffM 33 2 0 04 Sep 2023
A General-Purpose Self-Supervised Model for Computational Pathology Richard J. Chen Tong Ding Ming Y. Lu Drew F. K. Williamson Guillaume Jaume ... Judy J. Wang Walt Williams L. Le Georg Gerber Faisal Mahmood MedIm 28 42 0 29 Aug 2023
Stain-invariant self supervised learning for histopathology image analysis Alexandre Tiard A. Wong D. J. Ho Yang Wu Eliram Nof Alvin C. Goh Stefano Soatto Saad Nadeem OOD 15 5 0 14 Nov 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis Linhao Qu Siyu Liu Xiaoyu Liu Manning Wang Zhijian Song 25 56 0 18 Aug 2022
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides A. Quiros N. Coudray A. Yeaton Xinyu Yang Bojing Liu ... H. Pass A. Moreira J. L. Quesne A. Tsirigos Ke-Fei Yuan SSL 21 5 0 04 May 2022
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology Richard J. Chen Rahul G. Krishnan MedIm ViT 30 84 0 01 Mar 2022
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 294 10,354 0 12 Dec 2018