Classification and Disease Localization in Histopathology Using Only
Global Labels: A Weakly-Supervised Approach

Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach

1 February 2018

Papers citing "Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach"

15 / 15 papers shown

Title
Robust sensitivity control in digital pathology via tile score distribution matching Arthur Pignet John Klein Geneviève Robin Antoine Olivier OOD 67 0 0 27 Feb 2025
MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images Mark Eastwood H. Sailem Silviu Tudor Marc Xiaohong Gao J. Offman ... W. Cookson M. Moffatt S. Popat F. Minhas J. Robertus 33 1 0 23 Feb 2023
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images Ziyu Su Mostafa Rezapour Usama Sajjad M. Gürcan M. Niazi 22 11 0 18 Jan 2023
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning Kangning Liu Weicheng Zhu Yiqiu Shen Sheng Liu N. Razavian Krzysztof J. Geras C. Fernandez‐Granda SSL 28 25 0 17 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail Samy Ayed Edwige Cyffers Felix Grimberg Chaoyang He ... Sai Praneeth Karimireddy Marco Lorenzi Giovanni Neglia Marc Tommasi M. Andreux FedML 47 142 0 10 Oct 2022
A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations Bangwei Guo Xingyu Li Miao Yang Hong Zhang Xuesong Xu MedIm 11 8 0 31 May 2022
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images Zhenzhen Wang Carla Saoud A. Popel Aaron W. James Aleksander S. Popel Jeremias Sulam 21 21 0 22 Sep 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 38 39 0 13 Sep 2021
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches Chen Li Xintong Li M. Rahaman Xirong Li Hongzan Sun ... Yong Zhang Xiaoqi Li Jian Wu Yudong Yao M. Grzegorzek 41 191 0 21 Feb 2021
Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology Olivier Dehaene Axel Camara O. Moindrot Axel de Lavergne P. Courtiol 26 68 0 07 Dec 2020
Improving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations Antoine Pirovano H. Heuberger Sylvain Berlemont Saïd Ladjal Isabelle Bloch 18 12 0 29 Sep 2020
Deep Learning for Whole Slide Image Analysis: An Overview Dennis Núñez Ognjen Arandjelović Peter D Caie MedIm 32 267 0 18 Oct 2019
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 25 70 0 08 Sep 2019
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions L. Yao Jordan Prosky Eric Poblenz Ben Covington Kevin Lyman 26 120 0 21 Mar 2018
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 328 10,621 0 19 Feb 2017