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Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks.
Cardenas, Carlos E; Anderson, Brian M; Aristophanous, Michalis; Yang, Jinzhong; Rhee, Dong Joo; McCarroll, Rachel E; Mohamed, Abdallah S R; Kamal, Mona; Elgohari, Baher A; Elhalawani, Hesham M; Fuller, Clifton D; Rao, Arvind; Garden, Adam S; Court, Laurence E.
Affiliation
  • Cardenas CE; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America. Author to whom any correspondence should be addressed.
Phys Med Biol ; 63(21): 215026, 2018 11 07.
Article in En | MEDLINE | ID: mdl-30403188
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Radiotherapy Planning, Computer-Assisted / Oropharyngeal Neoplasms / Tomography, X-Ray Computed / Neural Networks, Computer Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Phys Med Biol Year: 2018 Document type: Article Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Radiotherapy Planning, Computer-Assisted / Oropharyngeal Neoplasms / Tomography, X-Ray Computed / Neural Networks, Computer Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Phys Med Biol Year: 2018 Document type: Article Country of publication: United kingdom