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

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

21 May 2021
Julio Silva-Rodríguez
Adrián Colomer
Valery Naranjo
ArXivPDFHTML

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

3 / 3 papers shown
Title
Challenging mitosis detection algorithms: Global labels allow centroid
  localization
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
12
0
0
30 Nov 2022
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic
  Segmentation using Patch-level Classification Labels
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
11
88
0
14 Oct 2021
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning
  Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
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
32
30
0
20 Aug 2021
1