(Q51506003)

6 April 2018

title

Auto-segmentation of normal and target structures in head and neck CT images: a feature-driven model-based approach. (English)

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author

David A. Jaffray

6

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author name string

Arish A Qazi

1

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Vladimir Pekar

2

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John Kim

3

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Jason Xie

4

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Stephen L Breen

5

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language of work or name

English

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publication date

1 November 2011

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published in

Medical Physics

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volume

38

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issue

11

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page(s)

6160-6170

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Emphasizing conformal avoidance versus target definition for IMRT planning in head-and-neck cancer

cites work

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The impact of gross tumor volume (GTV) and clinical target volume (CTV) definition on the total accuracy in radiotherapy theoretical aspects and practical experiences

21 January 2018

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21 January 2018

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21 January 2018

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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

21 January 2018

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Principal warps: thin-plate splines and the decomposition of deformations

21 January 2018

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21 January 2018

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Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors.

21 January 2018

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21 January 2018

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21 January 2018

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Active Shape Models-Their Training and Application

21 January 2018

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Validation of automatic landmark identification for atlas-based segmentation for radiation treatment planning of the head-and-neck region

21 January 2018

1 reference

Proposal for the delineation of the nodal CTV in the node-positive and the post-operative neck

21 January 2018

1 reference

21 January 2018

Identifiers

DOI

10.1118/1.3654160

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