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An application of cascaded 3D fully convolutional networks for medical
  image segmentation
v1v2 (latest)

An application of cascaded 3D fully convolutional networks for medical image segmentation

14 March 2018
H. Roth
H. Oda
Xiangrong Zhou
N. Shimizu
Ying Yang
Y. Hayashi
M. Oda
M. Fujiwara
K. Misawa
K. Mori
ArXiv (abs)PDFHTMLGithub (102★)

Papers citing "An application of cascaded 3D fully convolutional networks for medical image segmentation"

3 / 53 papers shown
Title
Imperfect Segmentation Labels: How Much Do They Matter?
Imperfect Segmentation Labels: How Much Do They Matter?
N. Heller
Joshua Dean
Nikolaos Papanikolopoulos
94
37
0
12 Jun 2018
Abdominal multi-organ segmentation with organ-attention networks and
  statistical fusion
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
Yan Wang
Yuyin Zhou
Wei Shen
Seyoun Park
Elliot K. Fishman
Alan Yuille
65
218
0
23 Apr 2018
Pancreas Segmentation in CT and MRI Images via Domain Specific Network
  Designing and Recurrent Neural Contextual Learning
Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning
Jinzheng Cai
Le Lu
Fuyong Xing
Ling Yang
MedIm
55
38
0
30 Mar 2018
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