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Semantic Segmentation of Pathological Lung Tissue with Dilated Fully
  Convolutional Networks

Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks

16 March 2018
M. Anthimopoulos
Stergios Christodoulidis
L. Ebner
Thomas Geiser
Andreas Christe
Stavroula Mougiakakou
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Papers citing "Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks"

28 / 28 papers shown
Title
Dilated Residual Networks
Dilated Residual Networks
Feng Yu
V. Koltun
Thomas Funkhouser
MedIm
96
1,615
0
28 May 2017
Understanding Convolution for Semantic Segmentation
Understanding Convolution for Semantic Segmentation
Panqu Wang
Pengfei Chen
Ye Yuan
Ding Liu
Zehua Huang
Xiaodi Hou
G. Cottrell
SSeg
55
1,682
0
27 Feb 2017
Holistic Interstitial Lung Disease Detection using Deep Convolutional
  Neural Networks: Multi-label Learning and Unordered Pooling
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling
Mingchen Gao
Ziyue Xu
Le Lu
Adam P. Harrison
Ronald M. Summers
D. Mollura
28
14
0
19 Jan 2017
Improved Texture Networks: Maximizing Quality and Diversity in
  Feed-forward Stylization and Texture Synthesis
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
46
791
0
09 Jan 2017
Multi-source Transfer Learning with Convolutional Neural Networks for
  Lung Pattern Analysis
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis
Stergios Christodoulidis
M. Anthimopoulos
L. Ebner
Andreas Christe
Stavroula Mougiakakou
23
133
0
08 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
261
19,560
0
21 Nov 2016
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully
  Convolutional Neural Networks and 3D Conditional Random Fields
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
P. Christ
M. Elshaer
Florian Ettlinger
S. Tatavarty
Marc Bickel
...
Felix O. Hofmann
M. D’Anastasi
Wieland H. Sommer
Seyed-Ahmad Ahmadi
Bjoern Menze
MedIm
37
632
0
07 Oct 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV
3DPC
SSeg
3DH
119
6,483
0
21 Jun 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
181
8,615
0
15 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
296
2,069
0
07 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
148
18,136
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
242
37,704
0
20 May 2016
Theano: A Python framework for fast computation of mathematical
  expressions
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
...
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
98
2,338
0
09 May 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
MedIm
3DV
100
3,049
0
18 Mar 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN
  Architectures, Dataset Characteristics and Transfer Learning
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin
H. Roth
Mingchen Gao
Le Lu
Ziyue Xu
Isabella Nogues
Jianhua Yao
D. Mollura
Ronald M. Summers
24
4,587
0
10 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.1K
192,638
0
10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
152
8,421
0
23 Nov 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
655
15,718
0
02 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust
  Semantic Pixel-Wise Labelling
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Vijay Badrinarayanan
Ankur Handa
R. Cipolla
SSeg
208
792
0
27 May 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
904
76,547
0
18 May 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
143
4,166
0
17 May 2015
Improving Computer-aided Detection using Convolutional Neural Networks
  and Random View Aggregation
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation
H. Roth
Le Lu
Jiamin Liu
Jianhua Yao
Ari Seff
Kevin M. Cherry
Lauren Kim
Ronald M. Summers
MedIm
62
558
0
12 May 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
219
43,154
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
491
149,474
0
22 Dec 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
235
43,511
0
17 Sep 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
683
99,991
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
872
39,383
0
01 Sep 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
178
15,825
0
12 Nov 2013
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