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Recent Advances in the Applications of Convolutional Neural Networks to
  Medical Image Contour Detection

Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection

24 August 2017
Zizhao Zhang
Fuyong Xing
H. Su
Xiaoshuang Shi
Ling Yang
    AAML
ArXivPDFHTML

Papers citing "Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection"

45 / 45 papers shown
Title
Convolutional Neural Networks for Medical Image Analysis: Full Training
  or Fine Tuning?
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh
Jae Y. Shin
S. Gurudu
R. T. Hurst
Christopher B. Kendall
Michael B. Gotway
Jianming Liang
222
2,529
0
02 Jun 2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac
  Image Enhancement and Segmentation
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation
Ozan Oktay
Enzo Ferrante
Konstantinos Kamnitsas
M. Heinrich
Wenjia Bai
...
T. Dawes
D. O’Regan
Bernhard Kainz
Ben Glocker
Daniel Rueckert
54
657
0
22 May 2017
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in
  Chest X-rays
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays
Wei-Ming Dai
Joseph Doyle
Xiaodan Liang
Zeya Wang
Nanqing Dong
Huatian Zhang
Eric Xing
MedIm
50
170
0
26 Mar 2017
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image
  Captioning
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
Jiasen Lu
Caiming Xiong
Devi Parikh
R. Socher
126
1,452
0
06 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
514
10,330
0
16 Nov 2016
Deep Retinal Image Understanding
Deep Retinal Image Understanding
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Pablo Arbeláez
Luc Van Gool
114
508
0
05 Sep 2016
The Importance of Skip Connections in Biomedical Image Segmentation
The Importance of Skip Connections in Biomedical Image Segmentation
M. Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
C. Pal
MedIm
81
1,047
0
14 Aug 2016
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object
  Detection
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
Zhaowei Cai
Quanfu Fan
Rogerio Feris
Nuno Vasconcelos
ObjD
81
1,491
0
25 Jul 2016
Deep Active Contours
Deep Active Contours
Christian Rupprecht
Elizabeth Huaroc
Maximilian Baust
Nassir Navab
232
64
0
18 Jul 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
62
109
0
12 Jul 2016
3D Deeply Supervised Network for Automatic Liver Segmentation from CT
  Volumes
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes
Qi Dou
Hao Chen
Yueming Jin
Lequan Yu
J. Qin
Pheng-Ann Heng
MedIm
76
345
0
03 Jul 2016
Spatial Aggregation of Holistically-Nested Networks for Automated
  Pancreas Segmentation
Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation
H. Roth
Le Lu
A. Farag
Andrew Sohn
Ronald M. Summers
SSeg
47
149
0
24 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
315
2,082
0
07 Jun 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
340
7,985
0
23 May 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
67
581
0
10 Apr 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
215
2,357
0
30 Mar 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
167
4,357
0
16 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,184
0
16 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
74
4,604
0
10 Feb 2016
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI
  and Ultrasound
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound
Fausto Milletari
Seyed-Ahmad Ahmadi
Christine Kroll
A. Plate
Verena E. Rozanski
...
J. Levin
O. Dietrich
B. Ertl-Wagner
K. Boetzel
Nassir Navab
229
364
0
26 Jan 2016
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
202
5,216
0
22 Dec 2015
Pushing the Boundaries of Boundary Detection using Deep Learning
Pushing the Boundaries of Boundary Detection using Deep Learning
Iasonas Kokkinos
51
232
0
23 Nov 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
300
5,524
0
23 Nov 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
268
8,446
0
23 Nov 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
104
6,188
0
14 Nov 2015
Learning to Segment Object Candidates
Learning to Segment Object Candidates
Pedro H. O. Pinheiro
R. Collobert
Piotr Dollar
SSeg
94
801
0
20 Jun 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
300
7,387
0
05 Jun 2015
Fast Detection of Curved Edges at Low SNR
Fast Detection of Curved Edges at Low SNR
Nati Ofir
Meirav Galun
B. Nadler
Ronen Basri
35
27
0
25 May 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
232
4,178
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
82
558
0
12 May 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
135
3,494
0
24 Apr 2015
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep
  Object Features and its Applications to High-Level Vision
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision
Gedas Bertasius
Jianbo Shi
Lorenzo Torresani
55
168
0
23 Apr 2015
Pixel-wise Deep Learning for Contour Detection
Pixel-wise Deep Learning for Contour Detection
Jyh-Jing Hwang
Tyng-Luh Liu
45
106
0
08 Apr 2015
Efficient piecewise training of deep structured models for semantic
  segmentation
Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin
Chunhua Shen
Anton van dan Hengel
Ian Reid
VLM
SSeg
140
924
0
04 Apr 2015
CRF Learning with CNN Features for Image Segmentation
CRF Learning with CNN Features for Image Segmentation
Fayao Liu
Guosheng Lin
Chunhua Shen
SSeg
54
207
0
28 Mar 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
185
1,045
0
05 Mar 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
241
2,536
0
11 Feb 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
176
4,894
0
22 Dec 2014
Convolutional Neural Networks at Constrained Time Cost
Convolutional Neural Networks at Constrained Time Cost
Kaiming He
Jian Sun
3DV
83
1,292
0
04 Dec 2014
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
121
1,962
0
26 Nov 2014
$ N^4 $-Fields: Neural Network Nearest Neighbor Fields for Image
  Transforms
N4 N^4 N4-Fields: Neural Network Nearest Neighbor Fields for Image Transforms
Yaroslav Ganin
Victor Lempitsky
OOD
77
271
0
25 Jun 2014
Fast Edge Detection Using Structured Forests
Fast Edge Detection Using Structured Forests
Piotr Dollár
C. L. Zitnick
84
932
0
20 Jun 2014
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
291
6,275
0
16 Dec 2013
Maxout Networks
Maxout Networks
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
240
2,178
0
18 Feb 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
261
12,439
0
24 Jun 2012
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