Automatic male pelvis segmentation from CT images via statistically trained multi-object deformable m-rep models-Reference-Cited by-同舟云学术

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Automatic male pelvis segmentation from CT images via statistically trained multi-object deformable m-rep models

Published:2004-09 Issue:1 Volume:60 Page:S153-S154
ISSN:0360-3016
Container-title:International Journal of Radiation Oncology*Biology*Physics
language:en
Short-container-title:International Journal of Radiation Oncology*Biology*Physics

Author:

Chaney E.L.,Pizer S.,Joshi S.,Broadhurst R.,Fletcher T.,Gash G.,Han Q.,Jeong J.,Lu C.,Merck D.,Stough J.,Tracton G.

Publisher

Elsevier BV

Subject

Cancer Research,Radiology Nuclear Medicine and imaging,Oncology,Radiation

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Vision 20/20: Perspectives on automated image segmentation for radiotherapy;Medical Physics;2014-04-24

2. Segmentation of the pelvic girdle in pediatric computed tomographic images;Journal of Electronic Imaging;2009-07-01

3. Automatic Segmentation of Pelvic Structures From Magnetic Resonance Images for Prostate Cancer Radiotherapy;International Journal of Radiation Oncology*Biology*Physics;2007-06

4. Statistical Multi-Object Shape Models;International Journal of Computer Vision;2007-03-06

5. A method and software for segmentation of anatomic object ensembles by deformable m-reps;Medical Physics;2005-04-18

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