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1711.06439
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Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks
17 November 2017
H. Roth
M. Oda
N. Shimizu
H. Oda
Y. Hayashi
T. Kitasaka
M. Fujiwara
K. Misawa
K. Mori
MedIm
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Papers citing
"Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks"
7 / 7 papers shown
Title
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples
Yingwei Li
Zhuotun Zhu
Yuyin Zhou
Yingda Xia
Wei Shen
Elliot K. Fishman
Alan Yuille
MedIm
33
23
0
29 Oct 2020
Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams
Chenglong Wang
H. Roth
T. Kitasaka
M. Oda
Y. Hayashi
Y. Yoshino
Tokunori Yamamoto
N. Sassa
M. Goto
K. Mori
30
19
0
05 Aug 2019
Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks
Davood Karimi
Septimiu E. Salcudean
MedIm
37
391
0
22 Apr 2019
A Model-Driven Stack-Based Fully Convolutional Network for Pancreas Segmentation
Hao Li
Jun Yu Li
Xiaozhu Lin
Xiaohua Qian
30
10
0
03 Mar 2019
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
Yan Wang
Yuyin Zhou
Wei Shen
Seyoun Park
Elliot K. Fishman
Alan Yuille
14
215
0
23 Apr 2018
Deep learning and its application to medical image segmentation
H. Roth
Chen Shen
H. Oda
M. Oda
Y. Hayashi
K. Misawa
K. Mori
MedIm
SSeg
48
114
0
23 Mar 2018
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation
Zhuotun Zhu
Yingda Xia
Wei-Che Shen
Elliot K. Fishman
Alan Yuille
19
133
0
01 Dec 2017
1