Histopathological Image Classification based on Self-Supervised Vision
Transformer and Weak Labels

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Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels

17 October 2022

Christoph Reich

Tim Prangemeier

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Papers citing "Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels"

16 / 16 papers shown

Title
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data Christoph Reich Tim Prangemeier Ozdemir Cetin Heinz Koeppl 56 11 0 20 Oct 2021
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy Christoph Reich Tim Prangemeier C. Wildner Heinz Koeppl AI4CE 43 8 0 15 Jun 2021
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 101 679 0 02 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 735 6,135 0 29 Apr 2021
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures Tim Prangemeier Christoph Reich Heinz Koeppl MedIm ViT 58 93 0 19 Nov 2020
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning Bin Li Yin Li K. Eliceiri 97 621 0 17 Nov 2020
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning Tim Prangemeier C. Wildner André O. Françani Christoph Reich Heinz Koeppl 45 14 0 16 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 684 41,483 0 22 Oct 2020
Weakly supervised multiple instance learning histopathological tumor segmentation Marvin Lerousseau Maria Vakalopoulou Marion Classe J. Adam Enzo Battistella Alexandre Carré Théo Estienne T. Henry Eric Deutsch Nikos Paragios 57 93 0 10 Apr 2020
A Probabilistic U-Net for Segmentation of Ambiguous Images Simon A. A. Kohl Bernardino Romera-Paredes Clemens Meyer J. Fauw J. Ledsam Klaus H. Maier-Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger UQCV SSeg 84 575 0 13 Jun 2018
Attention-based Deep Multiple Instance Learning Maximilian Ilse Jakub M. Tomczak Max Welling 182 1,827 0 13 Feb 2018
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach P. Courtiol Eric W. Tramel Marc Sanselme G. Wainrib 76 117 0 01 Feb 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 805 132,725 0 12 Jun 2017
Multiple Instance Learning: A Survey of Problem Characteristics and Applications M. Carbonneau Veronika Cheplygina Eric Granger G. Gagnon 74 629 0 11 Dec 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,654 0 06 Apr 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,441 0 18 May 2015

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