WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images

21 May 2021

Papers citing "WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images"

5 / 5 papers shown

Title
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer Pushpak Pati Guillaume Jaume Zeineb Ayadi Kevin Thandiackal Behzad Bozorgtabar M. Gabrani O. Goksel 20 17 0 07 Jan 2023
Challenging mitosis detection algorithms: Global labels allow centroid localization Claudio Fernandez-Martín Umay Kiraz Julio Silva-Rodríguez Sandra Morales Emiel A. M. Janssen Valery Naranjo 25 0 0 30 Nov 2022
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels Chu Han Jiatai Lin Jinhai Mai Yi Wang Qingling Zhang ... Zeyan Xu Xiaomei Huang Guoqiang Han Chang-xiu Liang Zaiyi Liu 32 89 0 14 Oct 2021
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection C. Abbet Linda Studer Andreas Fischer H. Dawson I. Zlobec Behzad Bozorgtabar Jean-Philippe Thiran OOD 39 32 0 20 Aug 2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs Valentin Anklin Pushpak Pati Guillaume Jaume Behzad Bozorgtabar Antonio Foncubierta-Rodríguez Jean-Philippe Thiran M. Sibony M. Gabrani O. Goksel 59 38 0 04 Mar 2021