Computer-assisted framework for machine-learning–based delineation of GTV regions on datasets of planning CT and PET/CT images

We have proposed a computer-assisted framework for machine-learning–based delineation of gross tumor volumes (GTVs) following an optimum contour selection (OCS) method. The key idea of the proposed framework was to feed image features around GTV contours (determined based on the knowledge of radiati...

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Bibliografische gegevens
Gepubliceerd in:J Radiat Res
Hoofdauteurs: Ikushima, Koujiro, Arimura, Hidetaka, Jin, Ze, Yabu-uchi, Hidetake, Kuwazuru, Jumpei, Shioyama, Yoshiyuki, Sasaki, Tomonari, Honda, Hiroshi, Sasaki, Masayuki
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Oxford University Press 2017
Onderwerpen:
Regular Paper
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5321188/
https://ncbi.nlm.nih.gov/pubmed/27609193
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jrr/rrw082
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