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Deep Weakly-Supervised Learning Methods for Classification and
  Localization in Histology Images: A Survey

Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey

8 September 2019
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
ArXivPDFHTML

Papers citing "Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey"

34 / 134 papers shown
Title
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised
  Localization
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization
Vadim Kantorov
Maxime Oquab
Minsu Cho
Ivan Laptev
WSOL
58
306
0
14 Sep 2016
Top-down Neural Attention by Excitation Backprop
Top-down Neural Attention by Excitation Backprop
Jianming Zhang
Zhe Lin
Jonathan Brandt
Xiaohui Shen
Stan Sclaroff
79
947
0
01 Aug 2016
The Mythos of Model Interpretability
The Mythos of Model Interpretability
Zachary Chase Lipton
FaML
164
3,685
0
10 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
225
18,195
0
02 Jun 2016
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic
  Segmentation
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
Di Lin
Jifeng Dai
Jiaya Jia
Kaiming He
Jian Sun
SSeg
121
1,006
0
18 Apr 2016
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Hao Chen
Xiaojuan Qi
Lequan Yu
Pheng-Ann Heng
MedIm
65
580
0
10 Apr 2016
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Anna Khoreva
Rodrigo Benenson
J. Hosang
Matthias Hein
Bernt Schiele
WSOD
VLM
ISeg
81
745
0
24 Mar 2016
Weakly Supervised Localization using Deep Feature Maps
Weakly Supervised Localization using Deep Feature Maps
Archith J. Bency
H. Kwon
Hyungtae Lee
S. Karthikeyan
B. S. Manjunath
WSOL
52
73
0
01 Mar 2016
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest
K. Sirinukunwattana
J. Pluim
Hao Chen
Xiaojuan Qi
Pheng-Ann Heng
...
Philipp Kainz
Michael Pfeiffer
M. Urschler
David R. J. Snead
Nasir M. Rajpoot
88
794
0
01 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.0K
16,931
0
16 Feb 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
233
9,298
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.0K
193,426
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
198
29,742
0
08 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
768
27,303
0
02 Dec 2015
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural
  Networks
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks
Chen Sun
Manohar Paluri
R. Collobert
Ram Nevatia
Lubomir D. Bourdev
71
61
0
12 Nov 2015
Weakly Supervised Deep Detection Networks
Weakly Supervised Deep Detection Networks
Hakan Bilen
Andrea Vedaldi
WSOD
67
788
0
09 Nov 2015
Constrained Convolutional Neural Networks for Weakly Supervised
  Segmentation
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
Deepak Pathak
Philipp Krahenbuhl
Trevor Darrell
SSeg
83
613
0
11 Jun 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
658
36,801
0
08 Jun 2015
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
93
986
0
06 Jun 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
292
7,379
0
05 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
471
62,122
0
04 Jun 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
1.6K
76,917
0
18 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
290
25,033
0
30 Apr 2015
Patch-based Convolutional Neural Network for Whole Slide Tissue Image
  Classification
Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification
L. Hou
Dimitris Samaras
Tahsin M. Kurc
Yi Gao
James E. Davis
Joel H. Saltz
MedIm
54
775
0
29 Apr 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks
  for Semantic Segmentation
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai
Kaiming He
Jian Sun
171
1,044
0
05 Mar 2015
Weakly Supervised Object Localization with Multi-fold Multiple Instance
  Learning
Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning
R. G. Cinbis
Jakob Verbeek
Cordelia Schmid
WSOD
SSL
61
430
0
03 Mar 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
156
4,888
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.4K
100,213
0
04 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
511
27,263
0
01 Sep 2014
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
357
11,199
0
18 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
377
43,524
0
01 May 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
245
14,893
1
21 Dec 2013
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
279
6,274
0
16 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
519
15,861
0
12 Nov 2013
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