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Epithelium segmentation using deep learning in H&E-stained prostate
  specimens with immunohistochemistry as reference standard

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

17 August 2018
W. Bulten
Péter Bándi
Jeffrey Hoven
Rob van de Loo
J. Lotz
Nick Weiss
Jeroen van der Laak
Bram van Ginneken
C. Hulsbergen–van de Kaa
G. Litjens
ArXivPDFHTML

Papers citing "Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard"

2 / 2 papers shown
Title
Comparison of Different Methods for Tissue Segmentation in
  Histopathological Whole-Slide Images
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images
Péter Bándi
Rob van de Loo
M. Intezar
D. Geijs
F. Ciompi
Bram van Ginneken
Jeroen van der Laak
G. Litjens
36
42
0
17 Mar 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.2K
76,547
0
18 May 2015
1