Combining registration and active shape models for the automatic segmentation of the lymph node regions in head and neck CT images-Reference-Cited by-同舟云学术

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Combining registration and active shape models for the automatic segmentation of the lymph node regions in head and neck CT images

Published:2010-11-19 Issue:12 Volume:37 Page:6338-6346
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Chen Antong,Deeley Matthew A.,Niermann Kenneth J.,Moretti Luigi,Dawant Benoit M.

Funder

National Institutes of Health

National Institute of Biomedical Imaging and Bioengineering

Publisher

Wiley

Subject

General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1118/1.3515459/fullpdf

Reference18 articles.

1. Reduce in variation and improve efficiency of target volume delineation by a computer-assisted system using a deformable image registration approach;Chao;Int. J. Radiat. Oncol., Biol., Phys.,2007

2. Atlas-based delineation of lymph node levels in head and neck computed tomography images;Commowick;Radiother. Oncol.,2008

3. O. Commowick S. K. Warfield G. Malandain Using Frankenstein's creature paradigm to build a patient specific atlas Proceedings of the 12th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI ‘09) 5762 993 1000 2009

4. Segmentation of head and neck lymph node regions for radiotherapy planning using active contour-based atlas registration;Gorthi;IEEE J. Sel. Top. Signal Process.,2009

5. Active shape models-their training and application;Cootes;Comput. Vis. Image Underst.,1995

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4. Deep Learning for Automated Elective Lymph Node Level Segmentation for Head and Neck Cancer Radiotherapy;Cancers;2022-11-09

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