Self-supervised driven consistency training for annotation efficient
histopathology image analysis

Self-supervised driven consistency training for annotation efficient histopathology image analysis

7 February 2021

Papers citing "Self-supervised driven consistency training for annotation efficient histopathology image analysis"

12 / 12 papers shown

Title
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Yicheng Song Tiancheng Lin Die Peng Su Yang Yi Xu MedIm 31 0 0 10 May 2025
A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models Bilel Guetarni Féryal Windal H. Benhabiles Marianne Petit Romain Dubois Emmanuelle Leteurtre Dominique Collard DiffM 15 2 0 02 Aug 2023
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images Hao Wang E. Ahn Jinman Kim 20 7 0 20 Mar 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang E. Ahn Da-wei Feng Jinman Kim MedIm 19 27 0 10 Feb 2023
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 15 56 0 18 Aug 2022
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology Maximilian Springenberg A. Frommholz M. Wenzel Eva Weicken Jackie Ma Nils Strodthoff MedIm 25 42 0 11 Apr 2022
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification Thomas Stegmüller Behzad Bozorgtabar A. Spahr Jean-Philippe Thiran ViT MedIm 19 42 0 15 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
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers C. Saillard Olivier Dehaene Tanguy Marchand O. Moindrot A. Kamoun B. Schmauch S. Jégou 30 39 0 13 Sep 2021
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 248 656 0 23 Mar 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,275 0 06 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,608 0 19 Feb 2017