Literature DB >> 21129671

[Automatic image segmentation for treatment planning in radiotherapy].

D Pasquier1, L Peyrodie, F Denis, Y Pointreau, G Béra, E Lartigau.   

Abstract

One drawback of the growth in conformal radiotherapy and image-guided radiotherapy is the increased time needed to define the volumes of interest. This also results in inter- and intra-observer variability. However, developments in computing and image processing have enabled these tasks to be partially or totally automated. This article will provide a detailed description of the main principles of image segmentation in radiotherapy, its applications and the most recent results in a clinical context.
Copyright © 2010 Elsevier Masson SAS. All rights reserved.

Mesh:

Year:  2010        PMID: 21129671     DOI: 10.1016/S1278-3218(10)70003-2

Source DB:  PubMed          Journal:  Cancer Radiother        ISSN: 1278-3218            Impact factor:   1.018


  1 in total

1.  Automatic Intracranial Segmentation: Is the Clinician Still Needed?

Authors:  Nicolas Meillan; Jean-Emmanuel Bibault; Julien Vautier; Caroline Daveau-Bergerault; Sarah Kreps; Hélène Tournat; Catherine Durdux; Philippe Giraud
Journal:  Technol Cancer Res Treat       Date:  2018-01-01
  1 in total

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