Automatic prostate segmentation based on fusion between deep network and variational methods-Reference-Cited by-同舟云学术

Automatic prostate segmentation based on fusion between deep network and variational methods

Published:2019-10-17 Issue:5 Volume:27 Page:821-837
ISSN:0895-3996
Container-title:Journal of X-Ray Science and Technology
language:
Short-container-title:XST

Author:

Tan Lu¹,Liang Antoni¹,Li Ling¹,Liu Wanquan¹,Kang Hanwen²,Chen Chao²

Affiliation:

1. School of Electrical Engineering, Computing and Mathematical Sciences (Computing Discipline), Curtin University, Bentley, Western Australia, Australia

2. Department of Mechanical and Aerospace Engineering, Monash University, Clayton, VIC, Australia

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiology Nuclear Medicine and imaging,Instrumentation,Radiation

Reference39 articles.

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4. A multiphase level set framework for image segmentation using the Mumford and Shah model;Vese;International Journal of Computer Vision,2002

5. A fast computational approach for illusory contour reconstruction;Tan;Multimedia Tools and Applications,2018

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