Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation-Reference-Cited by-同舟云学术

Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation

Published:2019-02-19 Issue:4 Volume:46 Page:1707-1718
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Wang Bo¹²,Lei Yang¹,Tian Sibo¹,Wang Tonghe¹,Liu Yingzi¹,Patel Pretesh¹,Jani Ashesh B.¹,Mao Hui³,Curran Walter J.¹,Liu Tian¹,Yang Xiaofeng¹

Affiliation:

1. Department of Radiation Oncology and Winship Cancer Institute Emory University Atlanta GA 30322USA

2. School of Physics and Electronic‐Electrical Engineering Ningxia University Yinchuan Ningxia 750021 P.R. China

3. Department of Radiology and Imaging Sciences and Winship Cancer Institute Emory University Atlanta GA 30322 USA

Funder

National Institutes of Health

U.S. Department of Defense

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13416

Reference50 articles.

1. International Variation in Prostate Cancer Incidence and Mortality Rates

2. A combinatorial Bayesian and Dirichlet model for prostate MR image segmentation using probabilistic image features

3. Computer-Aided Detection of Prostate Cancer in MRI

4. The use of atlas registration and graph cuts for prostate segmentation in magnetic resonance images

5. GhoseS MitraJ OliverA MartíR.A random forest based classication approach to prostate segmentation in MRI. Proc. Med. Image Comput. Comput.‐Assisted Intervention Conf. Prostate Segment. Challenge;2012.

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