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Deep-learning-based image registration and automatic segmentation of organs-at-risk in cone-beam CT scans from high-dose radiation treatment of pancreatic cancer.
Han, Xu; Hong, Jun; Reyngold, Marsha; Crane, Christopher; Cuaron, John; Hajj, Carla; Mann, Justin; Zinovoy, Melissa; Greer, Hastings; Yorke, Ellen; Mageras, Gig; Niethammer, Marc.
Affiliation
  • Han X; Department of Computer Science, University of North Carolina, Chapel Hill, NC, 27599, USA.
  • Hong J; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Reyngold M; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Crane C; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Cuaron J; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Hajj C; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Mann J; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Zinovoy M; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Greer H; Department of Computer Science, University of North Carolina, Chapel Hill, NC, 27599, USA.
  • Yorke E; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Mageras G; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Niethammer M; Department of Computer Science, University of North Carolina, Chapel Hill, NC, 27599, USA.
Med Phys ; 48(6): 3084-3095, 2021 Jun.
Article in En | MEDLINE | ID: mdl-33905539
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pancreatic Neoplasms / Deep Learning Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Med Phys Year: 2021 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pancreatic Neoplasms / Deep Learning Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Med Phys Year: 2021 Document type: Article Affiliation country: United States Country of publication: United States