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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"

50 / 134 papers shown
Title
Predicting breast tumor proliferation from whole-slide images: the
  TUPAC16 challenge
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
M. Veta
Y. Heng
N. Stathonikos
B. Bejnordi
F. Beca
...
E. Chang
Yan Xu
Andrew H. Beck
P. Diest
J. Pluim
56
263
0
22 Jul 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models
RISE: Randomized Input Sampling for Explanation of Black-box Models
Vitali Petsiuk
Abir Das
Kate Saenko
FAtt
172
1,169
0
19 Jun 2018
Cancer Metastasis Detection With Neural Conditional Random Field
Cancer Metastasis Detection With Neural Conditional Random Field
Yi Li
Ming-Yu Liu
MedIm
62
100
0
19 Jun 2018
Multiple Instance Learning for Heterogeneous Images: Training a CNN for
  Histopathology
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
Heather D. Couture
J. S. Marron
C. Perou
M. Troester
Marc Niethammer
3DH
50
61
0
13 Jun 2018
Few-Shot Segmentation Propagation with Guided Networks
Few-Shot Segmentation Propagation with Guided Networks
Kate Rakelly
Evan Shelhamer
Trevor Darrell
Alexei A. Efros
Sergey Levine
78
118
0
25 May 2018
Constrained-CNN losses for weakly supervised segmentation
Constrained-CNN losses for weakly supervised segmentation
H. Kervadec
Jose Dolz
Meng Tang
Eric Granger
Yuri Boykov
Ismail Ben Ayed
62
239
0
12 May 2018
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-
  Supervised Semantic Segmentation
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation
Yunchao Wei
Huaxin Xiao
Humphrey Shi
Zequn Jie
Jiashi Feng
Thomas S. Huang
SSeg
80
544
0
11 May 2018
Weakly-Supervised Learning-Based Feature Localization in Confocal Laser
  Endomicroscopy Glioma Images
Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images
Mohammadhassan Izadyyazdanabadi
E. Belykh
C. Cavallo
Xiaochun Zhao
S. Gandhi
L. Moreira
J. Eschbacher
P. Nakaji
M. Preul
Yezhou Yang
66
35
0
25 Apr 2018
Adversarial Complementary Learning for Weakly Supervised Object
  Localization
Adversarial Complementary Learning for Weakly Supervised Object Localization
Xiaolin Zhang
Yunchao Wei
Jiashi Feng
Yi Yang
Thomas Huang
WSOL
126
572
0
19 Apr 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and
  transfer learning in medical image analysis
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Veronika Cheplygina
Marleen de Bruijne
J. Pluim
47
748
0
17 Apr 2018
Normalized Cut Loss for Weakly-supervised CNN Segmentation
Normalized Cut Loss for Weakly-supervised CNN Segmentation
Meng Tang
Abdelaziz Djelouah
Federico Perazzi
Yuri Boykov
Christopher Schroers
44
317
0
04 Apr 2018
Weakly Supervised Instance Segmentation using Class Peak Response
Weakly Supervised Instance Segmentation using Class Peak Response
Yanzhao Zhou
Yi Zhu
QiXiang Ye
Qiang Qiu
Jianbin Jiao
WSOL
77
275
0
03 Apr 2018
Tell Me Where to Look: Guided Attention Inference Network
Tell Me Where to Look: Guided Attention Inference Network
Kunpeng Li
Ziyan Wu
Kuan-Chuan Peng
Jan Ernst
Y. Fu
106
531
0
27 Feb 2018
Multi-Evidence Filtering and Fusion for Multi-Label Classification,
  Object Detection and Semantic Segmentation Based on Weakly Supervised
  Learning
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
Weifeng Ge
Sibei Yang
Yizhou Yu
76
189
0
26 Feb 2018
Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning
Maximilian Ilse
Jakub M. Tomczak
Max Welling
157
1,811
0
13 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
357
13,103
0
07 Feb 2018
Visual Interpretability for Deep Learning: a Survey
Visual Interpretability for Deep Learning: a Survey
Quanshi Zhang
Song-Chun Zhu
FaML
HAI
120
819
0
02 Feb 2018
Classification and Disease Localization in Histopathology Using Only
  Global Labels: A Weakly-Supervised Approach
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach
P. Courtiol
Eric W. Tramel
Marc Sanselme
G. Wainrib
59
116
0
01 Feb 2018
Deep Learning: A Critical Appraisal
Deep Learning: A Critical Appraisal
G. Marcus
HAI
VLM
117
1,040
0
02 Jan 2018
A Deep Learning Interpretable Classifier for Diabetic Retinopathy
  Disease Grading
A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading
J. D. L. Torre
A. Valls
D. Puig
143
162
0
21 Dec 2017
The (Un)reliability of saliency methods
The (Un)reliability of saliency methods
Pieter-Jan Kindermans
Sara Hooker
Julius Adebayo
Maximilian Alber
Kristof T. Schütt
Sven Dähne
D. Erhan
Been Kim
FAtt
XAI
91
684
0
02 Nov 2017
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Aditya Chattopadhyay
Anirban Sarkar
Prantik Howlader
V. Balasubramanian
FAtt
101
2,289
0
30 Oct 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
271
9,743
0
25 Oct 2017
Convolutional Neural Networks for Histopathology Image Classification:
  Training vs. Using Pre-Trained Networks
Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks
Brady Kieffer
Morteza Babaie
Shivam Kalra
H. R. Tizhoosh
38
124
0
11 Oct 2017
Soft Proposal Networks for Weakly Supervised Object Localization
Soft Proposal Networks for Weakly Supervised Object Localization
Yi Zhu
Yanzhao Zhou
QiXiang Ye
Qiang Qiu
Jianbin Jiao
WSOL
47
150
0
06 Sep 2017
Machine learning methods for histopathological image analysis
Machine learning methods for histopathological image analysis
D. Komura
S. Ishikawa
56
696
0
04 Sep 2017
Explainable Artificial Intelligence: Understanding, Visualizing and
  Interpreting Deep Learning Models
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
Wojciech Samek
Thomas Wiegand
K. Müller
XAI
VLM
68
1,188
0
28 Aug 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
107
3,758
0
15 Aug 2017
Two-Phase Learning for Weakly Supervised Object Localization
Two-Phase Learning for Weakly Supervised Object Localization
Dahun Kim
Donghyeon Cho
Donggeun Yoo
In So Kweon
WSOL
67
142
0
07 Aug 2017
Discriminative Localization in CNNs for Weakly-Supervised Segmentation
  of Pulmonary Nodules
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules
Xinyang Feng
Jie Yang
Andrew F. Laine
Elsa D. Angelini
28
159
0
04 Jul 2017
Weakly-supervised localization of diabetic retinopathy lesions in
  retinal fundus images
Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images
Waleed M. Gondal
Jan M. Köhler
René Grzeszick
G. Fink
M. Hirsch
MedIm
51
138
0
29 Jun 2017
Real Time Image Saliency for Black Box Classifiers
Real Time Image Saliency for Black Box Classifiers
P. Dabkowski
Y. Gal
62
588
0
22 May 2017
Network Dissection: Quantifying Interpretability of Deep Visual
  Representations
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau
Bolei Zhou
A. Khosla
A. Oliva
Antonio Torralba
MILM
FAtt
132
1,514
1
19 Apr 2017
Deep Self-Taught Learning for Weakly Supervised Object Localization
Deep Self-Taught Learning for Weakly Supervised Object Localization
Zequn Jie
Yunchao Wei
Xiaojie Jin
Jiashi Feng
Wen Liu
SSL
WSOL
31
194
0
18 Apr 2017
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised
  Object and Action Localization
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization
Krishna Kumar Singh
Yong Jae Lee
67
680
0
13 Apr 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth C. Fong
Andrea Vedaldi
FAtt
AAML
74
1,517
0
11 Apr 2017
Multiple Instance Detection Network with Online Instance Classifier
  Refinement
Multiple Instance Detection Network with Online Instance Classifier Refinement
Peng Tang
Xinggang Wang
X. Bai
Wenyu Liu
WSOD
67
442
0
01 Apr 2017
Object Region Mining with Adversarial Erasing: A Simple Classification
  to Semantic Segmentation Approach
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
Yunchao Wei
Jiashi Feng
Xiaodan Liang
Ming-Ming Cheng
Yao-Min Zhao
Shuicheng Yan
75
808
0
24 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
376
3,776
0
28 Feb 2017
The importance of stain normalization in colorectal tissue
  classification with convolutional networks
The importance of stain normalization in colorectal tissue classification with convolutional networks
F. Ciompi
Oscar G. F. Geessink
B. Bejnordi
Gabriel Silva de Souza
A. Baidoshvili
G. Litjens
Bram van Ginneken
Iris Nagtegaal
Jeroen van der Laak
MedIm
49
201
0
20 Feb 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
610
10,759
0
19 Feb 2017
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Zhipeng Jia
Xingyi Huang
E. Chang
Yan Xu
82
218
0
03 Jan 2017
Automatic labeling of molecular biomarkers of whole slide
  immunohistochemistry images using fully convolutional networks
Automatic labeling of molecular biomarkers of whole slide immunohistochemistry images using fully convolutional networks
F. Sheikhzadeh
M. Guillaud
Rabab Ward
46
14
0
30 Dec 2016
3D fully convolutional networks for subcortical segmentation in MRI: A
  large-scale study
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
J. Dolz
Christian Desrosiers
Ismail Ben Ayed
3DV
61
366
0
12 Dec 2016
Multiple Instance Learning: A Survey of Problem Characteristics and
  Applications
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
M. Carbonneau
Veronika Cheplygina
Eric Granger
G. Gagnon
59
625
0
11 Dec 2016
Weakly Supervised Cascaded Convolutional Networks
Weakly Supervised Cascaded Convolutional Networks
Ali Diba
Vivek Sharma
A. Pazandeh
Hamed Pirsiavash
Luc Van Gool
WSOD
48
298
0
24 Nov 2016
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
320
4,624
0
10 Nov 2016
Deep Learning Assessment of Tumor Proliferation in Breast Cancer
  Histological Images
Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images
Manan A. Shah
Christopher A. Rubadue
D. Suster
Dayong Wang
47
40
0
11 Oct 2016
Revisiting Multiple Instance Neural Networks
Revisiting Multiple Instance Neural Networks
Xinggang Wang
Yongluan Yan
Peng Tang
X. Bai
Wenyu Liu
110
445
0
08 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
260
19,929
0
07 Oct 2016
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