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A Pathologist-Informed Workflow for Classification of Prostate Glands in
  Histopathology

A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology

27 September 2022
Alessandro Ferrero
Beatrice Knudsen
Deepika Sirohi
Ross T. Whitaker
ArXivPDFHTML

Papers citing "A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology"

13 / 13 papers shown
Title
Prostate Gland Segmentation in Histology Images via Residual and
  Multi-Resolution U-Net
Prostate Gland Segmentation in Histology Images via Residual and Multi-Resolution U-Net
Julio Silva-Rodríguez
Elena Payá-Bosch
Gabriel García
Adrián Colomer
Valery Naranjo
MedIm
47
8
0
21 May 2021
Histogram Matching Augmentation for Domain Adaptation with Application
  to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image Segmentation
Histogram Matching Augmentation for Domain Adaptation with Application to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image Segmentation
Jun Ma
35
28
0
27 Dec 2020
CompRess: Self-Supervised Learning by Compressing Representations
CompRess: Self-Supervised Learning by Compressing Representations
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
63
91
0
28 Oct 2020
Development and Validation of a Deep Learning Algorithm for Improving
  Gleason Scoring of Prostate Cancer
Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer
K. Nagpal
Davis Foote
Yun-Hui Liu
Po-Hsuan Cameron Chen
Chen
...
A. Evans
A. Sangoi
C. Mermel
J. Hipp
Martin C. Stumpe
44
410
0
15 Nov 2018
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
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
48
150
0
17 Aug 2018
Multi-task Self-Supervised Visual Learning
Multi-task Self-Supervised Visual Learning
Carl Doersch
Andrew Zisserman
SSL
78
631
0
25 Aug 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
350
27,181
0
20 Mar 2017
The Importance of Skip Connections in Biomedical Image Segmentation
The Importance of Skip Connections in Biomedical Image Segmentation
M. Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
C. Pal
MedIm
81
1,045
0
14 Aug 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
738
37,846
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,133
0
18 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
301
25,051
0
30 Apr 2015
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
392
11,224
0
18 Jun 2014
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