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A two-stage 3D Unet framework for multi-class segmentation on full
  resolution image

A two-stage 3D Unet framework for multi-class segmentation on full resolution image

12 April 2018
Chengjia Wang
Tom J. MacGillivray
G. Macnaught
Guang Yang
D. Newby
    SSeg
    SupR
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Papers citing "A two-stage 3D Unet framework for multi-class segmentation on full resolution image"

12 / 12 papers shown
Title
Multi-views Fusion CNN for Left Ventricular Volumes Estimation on
  Cardiac MR Images
Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images
Gongning Luo
Suyu Dong
Kuanquan Wang
W. Zuo
Shaodong Cao
Henggui Zhang
47
72
0
09 Apr 2018
An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional
  Networks for Semantic Segmentation
An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation
L. Berger
E. Hyde
M. Jorge Cardoso
Sebastien Ourselin
SSeg
48
40
0
08 Sep 2017
Multi-Planar Deep Segmentation Networks for Cardiac Substructures from
  MRI and CT
Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT
Aliasghar Mortazi
J. Burt
Ulas Bagci
30
73
0
03 Aug 2017
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected
  Volumetric ConvNets
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets
Lequan Yu
Jie Cheng
Qi Dou
Xin Yang
Hao Chen
Jing Qin
Pheng-Ann Heng
62
221
0
02 Aug 2017
Hierarchical 3D fully convolutional networks for multi-organ
  segmentation
Hierarchical 3D fully convolutional networks for multi-organ segmentation
H. Roth
H. Oda
Y. Hayashi
M. Oda
N. Shimizu
M. Fujiwara
K. Misawa
K. Mori
59
124
0
21 Apr 2017
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation
  in Congenital Heart Disease
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease
J. Wolterink
T. Leiner
M. Viergever
Ivana Išgum
31
100
0
12 Apr 2017
Deep Learning for Multi-Task Medical Image Segmentation in Multiple
  Modalities
Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities
P. Moeskops
J. Wolterink
Bas H. M. van der Velden
K. Gilhuijs
T. Leiner
M. Viergever
Ivana Išgum
SSeg
48
314
0
11 Apr 2017
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
148
6,523
0
21 Jun 2016
Deeply-Recursive Convolutional Network for Image Super-Resolution
Deeply-Recursive Convolutional Network for Image Super-Resolution
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
133
2,505
0
14 Nov 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
1.8K
77,099
0
18 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
290
25,033
0
30 Apr 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
146
8,074
0
31 Dec 2014
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