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Artificial Intelligence in Radiation Therapy.
Fu, Yabo; Zhang, Hao; Morris, Eric D; Glide-Hurst, Carri K; Pai, Suraj; Traverso, Alberto; Wee, Leonard; Hadzic, Ibrahim; Lønne, Per-Ivar; Shen, Chenyang; Liu, Tian; Yang, Xiaofeng.
Afiliação
  • Fu Y; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, USA.
  • Zhang H; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Morris ED; Department of Radiation Oncology, University of California-Los Angeles, Los Angeles, CA 90095, USA.
  • Glide-Hurst CK; Department of Human Oncology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.
  • Pai S; Maastricht University Medical Centre, Netherlands.
  • Traverso A; Maastricht University Medical Centre, Netherlands.
  • Wee L; Maastricht University Medical Centre, Netherlands.
  • Hadzic I; Maastricht University Medical Centre, Netherlands.
  • Lønne PI; Department of Medical Physics, Oslo University Hospital, PO Box 4953 Nydalen, 0424 Oslo, Norway.
  • Shen C; Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75002, USA.
  • Liu T; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, USA.
  • Yang X; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, USA.
IEEE Trans Radiat Plasma Med Sci ; 6(2): 158-181, 2022 Feb.
Article em En | MEDLINE | ID: mdl-35992632
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article