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Constrained Deep Weak Supervision for Histopathology Image Segmentation

Constrained Deep Weak Supervision for Histopathology Image Segmentation

3 January 2017
Zhipeng Jia
Xingyi Huang
E. Chang
Yan Xu
ArXivPDFHTML

Papers citing "Constrained Deep Weak Supervision for Histopathology Image Segmentation"

39 / 39 papers shown
Title
Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture
Yikun Hou
Suvrit Sra
A. Yurtsever
34
0
0
28 Jan 2025
HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization
HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization
Zijie Fang
Yifeng Wang
Peizhang Xie
Zhi Wang
Yongbing Zhang
46
0
0
31 Dec 2024
Enhancing Weakly-Supervised Histopathology Image Segmentation with
  Knowledge Distillation on MIL-Based Pseudo-Labels
Enhancing Weakly-Supervised Histopathology Image Segmentation with Knowledge Distillation on MIL-Based Pseudo-Labels
Yinsheng He
Xingyu Li
Roger J. Zemp
VLM
46
0
0
14 Jul 2024
Hierarchical learning, forecasting coherent spatio-temporal individual
  and aggregated building loads
Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads
J. Leprince
H. Madsen
J. Møller
W. Zeiler
30
6
0
30 Jan 2023
Weakly Supervised Joint Whole-Slide Segmentation and Classification in
  Prostate Cancer
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer
Pushpak Pati
Guillaume Jaume
Zeineb Ayadi
Kevin Thandiackal
Behzad Bozorgtabar
M. Gabrani
O. Goksel
20
17
0
07 Jan 2023
Weakly-supervised detection of AMD-related lesions in color fundus
  images using explainable deep learning
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning
José Morano
Álvaro S. Hervella
J. Rouco
Jorge Novo
José I. Fernández-Vigo
M. Ortega
MedIm
32
13
0
01 Dec 2022
A comprehensive survey on recent deep learning-based methods applied to
  surgical data
A comprehensive survey on recent deep learning-based methods applied to surgical data
Mansoor Ali
Rafael Martinez Garcia Peña
Gilberto Ochoa-Ruiz
Sharib Ali
30
6
0
03 Sep 2022
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel
  Segmentation in Weakly-Supervised Learning with Locality Augmentation
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation
Amrest Chinkamol
Vetit Kanjaras
Phattarapong Sawangjai
Yitian Zhao
Thapanun Sudhawiyangkul
C. Chantrapornchai
Cuntai Guan
Theerawit Wilaiprasitporn
41
7
0
25 Jul 2022
Attention-based Dynamic Subspace Learners for Medical Image Analysis
Attention-based Dynamic Subspace Learners for Medical Image Analysis
V. SukeshAdiga
Jose Dolz
H. Lombaert
21
1
0
18 Jun 2022
Differentiable Zooming for Multiple Instance Learning on Whole-Slide
  Images
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images
Kevin Thandiackal
Boqi Chen
Pushpak Pati
Guillaume Jaume
Drew F. K. Williamson
M. Gabrani
O. Goksel
22
43
0
26 Apr 2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic
  Segmentation for Lung Adenocarcinoma
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
Chu Han
Xipeng Pan
Lixu Yan
Huan Lin
Bingbing Li
...
Chengda Lu
Xin Chen
C. Liang
Qingling Zhang
Zaiyi Liu
33
28
0
13 Apr 2022
Constrained unsupervised anomaly segmentation
Constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez
Valery Naranjo
Jose Dolz
18
23
0
03 Mar 2022
NFANet: A Novel Method for Weakly Supervised Water Extraction from
  High-Resolution Remote Sensing Imagery
NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery
Ming Lu
Leyuan Fang
Muxing Li
Bob Zhang
Yi Zhang
Pedram Ghamisi
37
30
0
10 Jan 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
32
89
0
14 Oct 2021
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations
  on Single Whole-Slide Images
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
Zhenzhen Wang
Carla Saoud
A. Popel
Aaron W. James
Aleksander S. Popel
Jeremias Sulam
21
21
0
22 Sep 2021
Looking at the whole picture: constrained unsupervised anomaly
  segmentation
Looking at the whole picture: constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez
Valery Naranjo
Jose Dolz
27
5
0
01 Sep 2021
Source-Free Domain Adaptation for Image Segmentation
Source-Free Domain Adaptation for Image Segmentation
M. Bateson
H. Kervadec
Jose Dolz
H. Lombaert
Ismail Ben Ayed
OOD
MedIm
129
65
0
06 Aug 2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels
  using Tissue Graphs
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
Valentin Anklin
Pushpak Pati
Guillaume Jaume
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Jean-Philippe Thiran
M. Sibony
M. Gabrani
O. Goksel
59
38
0
04 Mar 2021
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions
  Segmentation
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
Jiahua Dong
Yang Cong
Gan Sun
Yunsheng Yang
Xiaowei Xu
Zhengming Ding
MedIm
30
36
0
08 Dec 2020
Physics-constrained Deep Learning of Multi-zone Building Thermal
  Dynamics
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics
Ján Drgoňa
Aaron Tuor
V. Chandan
D. Vrabie
AI4CE
27
115
0
11 Nov 2020
A Multi-resolution Model for Histopathology Image Classification and
  Localization with Multiple Instance Learning
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning
Jiayun Li
Wenyuan Li
Anthony Sisk
Huihui Ye
W. D. Wallace
W. Speier
C. Arnold
24
107
0
05 Nov 2020
Bounding boxes for weakly supervised segmentation: Global constraints
  get close to full supervision
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
H. Kervadec
Jose Dolz
Shanshan Wang
Eric Granger
Ismail Ben Ayed
22
84
0
14 Apr 2020
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
Daniel Y. Fu
Mayee F. Chen
Frederic Sala
Sarah Hooper
Kayvon Fatahalian
Christopher Ré
OffRL
28
111
0
27 Feb 2020
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in
  Different Image Domains
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains
Lyndon Chan
Mahdi S. Hosseini
Konstantinos N. Plataniotis
29
97
0
24 Dec 2019
Multi-Resolution Weak Supervision for Sequential Data
Multi-Resolution Weak Supervision for Sequential Data
Frederic Sala
P. Varma
Jason Alan Fries
Daniel Y. Fu
Shiori Sagawa
...
A. Ramamoorthy
K. Xiao
Kayvon Fatahalian
J. Priest
Christopher Ré
NoLa
14
28
0
21 Oct 2019
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
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
25
70
0
08 Sep 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
33
751
0
27 Aug 2019
Multiple instance dense connected convolution neural network for aerial
  image scene classification
Multiple instance dense connected convolution neural network for aerial image scene classification
Qi Bi
K. Qin
Zhili Li
Han Zhang
Kai Xu
30
110
0
22 Aug 2019
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
Jiahua Dong
Yang Cong
Gan Sun
Dongdong Hou
MedIm
27
48
0
21 Aug 2019
Automatic acute ischemic stroke lesion segmentation using
  semi-supervised learning
Automatic acute ischemic stroke lesion segmentation using semi-supervised learning
Bin Zhao
Shuxue Ding
Hong Wu
Guohua Liu
Chen Cao
Song Jin
Zhiyang Liu
15
10
0
10 Aug 2019
Constrained domain adaptation for Image segmentation
Constrained domain adaptation for Image segmentation
M. Bateson
Jose Dolz
H. Kervadec
H. Lombaert
Ismail Ben Ayed
GAN
26
25
0
08 Aug 2019
Automated Classification of Histopathology Images Using Transfer
  Learning
Automated Classification of Histopathology Images Using Transfer Learning
Muhammed Talo
MedIm
19
122
0
24 Mar 2019
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in
  Laparoscopic Videos
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos
C. Nwoye
Didier Mutter
J. Marescaux
N. Padoy
27
121
0
04 Dec 2018
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
Armine Vardazaryan
Didier Mutter
J. Marescaux
N. Padoy
19
60
0
14 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
27
61
0
13 Jun 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
27
239
0
12 May 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
V. Cheplygina
Marleen de Bruijne
J. Pluim
16
745
0
17 Apr 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple
  Resolutions
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions
L. Yao
Jordan Prosky
Eric Poblenz
Ben Covington
Kevin Lyman
26
120
0
21 Mar 2018
Self-Learning to Detect and Segment Cysts in Lung CT Images without
  Manual Annotation
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation
Ling Zhang
Vissagan Gopalakrishnan
Le Lu
Ronald M. Summers
J. Moss
Jianhua Yao
MedIm
29
38
0
25 Jan 2018
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