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Every Annotation Counts: Multi-label Deep Supervision for Medical Image
  Segmentation

Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation

27 April 2021
Simon Reiß
C. Seibold
Alexander Freytag
E. Rodner
Rainer Stiefelhagen
ArXivPDFHTML

Papers citing "Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation"

50 / 50 papers shown
Title
Weakly-Supervised Semantic Segmentation via Sub-category Exploration
Weakly-Supervised Semantic Segmentation via Sub-category Exploration
Yu-Ting Chang
Qiaosong Wang
Wei-Chih Hung
Robinson Piramuthu
Yi-Hsuan Tsai
Ming-Hsuan Yang
122
256
0
03 Aug 2020
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised
  Learning
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
Viktor Olsson
Wilhelm Tranheden
Juliano Pinto
Lennart Svensson
41
336
0
15 Jul 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
39
84
0
14 Apr 2020
Self-supervised Equivariant Attention Mechanism for Weakly Supervised
  Semantic Segmentation
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
Yude Wang
Jie Zhang
Meina Kan
Shiguang Shan
Xilin Chen
73
621
0
09 Apr 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Yassine Ouali
C´eline Hudelot
Myriam Tami
96
720
0
19 Mar 2020
Evaluating Weakly Supervised Object Localization Methods Right
Evaluating Weakly Supervised Object Localization Methods Right
Junsuk Choe
Seong Joon Oh
Seungho Lee
Sanghyuk Chun
Zeynep Akata
Hyunjung Shim
WSOL
340
188
0
21 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
128
42,038
0
03 Dec 2019
Semi-Supervised Semantic Segmentation with High- and Low-level
  Consistency
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency
Sudhanshu Mittal
Maxim Tatarchenko
Thomas Brox
SSL
42
373
0
15 Aug 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
557
4,735
0
13 May 2019
Box-driven Class-wise Region Masking and Filling Rate Guided Loss for
  Weakly Supervised Semantic Segmentation
Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
Chunfeng Song
Yan Huang
Wanli Ouyang
Liang Wang
52
216
0
26 Apr 2019
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object
  Detection
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection
Yun-Hai Liu
Deng-Ping Fan
Xinyu Zhang
Guangyu Nie
Meng Wang
39
86
0
28 Mar 2019
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using
  Stochastic Inference
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
Jungbeom Lee
Eunji Kim
Sungmin Lee
Jangho Lee
Sungroh Yoon
39
421
0
27 Feb 2019
Semi-Supervised Semantic Image Segmentation with Self-correcting
  Networks
Semi-Supervised Semantic Image Segmentation with Self-correcting Networks
Mostafa S. Ibrahim
Arash Vahdat
Mani Ranjbar
W. Macready
24
83
0
17 Nov 2018
A Novel Focal Tversky loss function with improved Attention U-Net for
  lesion segmentation
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation
Nabila Abraham
N. Khan
SSeg
MedIm
45
699
0
18 Oct 2018
Semi-supervised Skin Lesion Segmentation via Transformation Consistent
  Self-ensembling Model
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
Xiaomeng Li
Lequan Yu
Hao Chen
Chi-Wing Fu
Pheng-Ann Heng
MedIm
42
135
0
12 Aug 2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
61
6,066
0
18 Jul 2018
Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji
João F. Henriques
Andrea Vedaldi
SSL
VLM
53
844
0
17 Jul 2018
Deep semi-supervised segmentation with weight-averaged consistency
  targets
Deep semi-supervised segmentation with weight-averaged consistency targets
C. Perone
Julien Cohen-Adad
OOD
35
72
0
12 Jul 2018
Deep supervision with additional labels for retinal vessel segmentation
  task
Deep supervision with additional labels for retinal vessel segmentation task
Yishuo Zhang
Albert C. S. Chung
28
136
0
06 Jun 2018
Adversarial Learning for Semi-Supervised Semantic Segmentation
Adversarial Learning for Semi-Supervised Semantic Segmentation
Wei-Chih Hung
Yi-Hsuan Tsai
Yan-Ting Liou
Yen-Yu Lin
Ming-Hsuan Yang
GAN
SSeg
93
549
0
22 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
96
13,005
0
07 Feb 2018
Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network
  and Polar Transformation
Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation
Huazhu Fu
Jun Cheng
Yanwu Xu
D. Wong
Jiang-Dong Liu
Xiaochun Cao
MedIm
25
734
0
03 Jan 2018
Multi-Task Learning for Segmentation of Building Footprints with Deep
  Neural Networks
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks
B. Bischke
P. Helber
Joachim Folz
Damian Borth
Andreas Dengel
SSeg
29
247
0
18 Sep 2017
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans
Yuyin Zhou
Lingxi Xie
Elliot K. Fishman
Alan Yuille
OOD
MedIm
35
96
0
22 Jun 2017
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
Marvin Teichmann
Michael Weber
Johann Marius Zöllner
R. Cipolla
R. Urtasun
SSeg
38
697
0
22 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
276
11,941
0
04 Dec 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TS
SSeg
216
2,835
0
20 Nov 2016
RetiNet: Automatic AMD identification in OCT volumetric data
RetiNet: Automatic AMD identification in OCT volumetric data
S. Apostolopoulos
Carlos Ciller
Sandro De Zanet
Sebastian Wolf
Raphael Sznitman
26
35
0
12 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
183
19,796
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
578
36,599
0
25 Aug 2016
Gland Instance Segmentation by Deep Multichannel Side Supervision
Gland Instance Segmentation by Deep Multichannel Side Supervision
Yan Xu
Yang Li
Mingyuan Liu
Yipei Wang
M. Lai
E. Chang
MedIm
50
109
0
12 Jul 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
183
8,615
0
15 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
157
18,136
0
02 Jun 2016
DeepCut: Object Segmentation from Bounding Box Annotations using
  Convolutional Neural Networks
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks
Martin Rajchl
M. J. Lee
Ozan Oktay
Konstantinos Kamnitsas
Jonathan Passerat-Palmbach
...
Mellisa Damodaram
Mary A. Rutherford
Joseph V. Hajnal
Bernhard Kainz
Daniel Rueckert
33
375
0
25 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
251
37,704
0
20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
541
11,540
0
06 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
61
744
0
24 Mar 2016
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image
  Segmentation
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
Alexander Kolesnikov
Christoph H. Lampert
SSeg
37
744
0
19 Mar 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
121
9,266
0
14 Dec 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
680
15,718
0
02 Nov 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
66
983
0
06 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
979
76,547
0
18 May 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
108
1,040
0
05 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
249
43,154
0
11 Feb 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
SSeg
72
916
0
09 Feb 2015
Fully Convolutional Multi-Class Multiple Instance Learning
Fully Convolutional Multi-Class Multiple Instance Learning
Deepak Pathak
Evan Shelhamer
Jonathan Long
Trevor Darrell
SSL
54
314
0
22 Dec 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
231
2,229
0
18 Sep 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
262
43,511
0
17 Sep 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
212
43,290
0
01 May 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
125
7,252
0
20 Dec 2013
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