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Deep learning method for prediction of patient-specific dose distribution in breast cancer.
Ahn, Sang Hee; Kim, EunSook; Kim, Chankyu; Cheon, Wonjoong; Kim, Myeongsoo; Lee, Se Byeong; Lim, Young Kyung; Kim, Haksoo; Shin, Dongho; Kim, Dae Yong; Jeong, Jong Hwi.
Afiliação
  • Ahn SH; Department of Radiation Oncology, Proton Therapy Center, National Cancer Center, 323, Ilsan-ro, Ilsandong-guGyeonggi-do, Goyang-si, 10408, South Korea.
  • Kim E; Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
  • Kim C; Department of Radiation Oncology, Proton Therapy Center, National Cancer Center, 323, Ilsan-ro, Ilsandong-guGyeonggi-do, Goyang-si, 10408, South Korea.
  • Cheon W; Department of Radiation Oncology, Proton Therapy Center, National Cancer Center, 323, Ilsan-ro, Ilsandong-guGyeonggi-do, Goyang-si, 10408, South Korea.
  • Kim M; Department of Radiation Oncology, Proton Therapy Center, National Cancer Center, 323, Ilsan-ro, Ilsandong-guGyeonggi-do, Goyang-si, 10408, South Korea.
  • Lee SB; Department of Radiation Oncology, Proton Therapy Center, National Cancer Center, 323, Ilsan-ro, Ilsandong-guGyeonggi-do, Goyang-si, 10408, South Korea.
  • Lim YK; Department of Radiation Oncology, Proton Therapy Center, National Cancer Center, 323, Ilsan-ro, Ilsandong-guGyeonggi-do, Goyang-si, 10408, South Korea.
  • Kim H; Department of Radiation Oncology, Proton Therapy Center, National Cancer Center, 323, Ilsan-ro, Ilsandong-guGyeonggi-do, Goyang-si, 10408, South Korea.
  • Shin D; Department of Radiation Oncology, Proton Therapy Center, National Cancer Center, 323, Ilsan-ro, Ilsandong-guGyeonggi-do, Goyang-si, 10408, South Korea.
  • Kim DY; Department of Radiation Oncology, Proton Therapy Center, National Cancer Center, 323, Ilsan-ro, Ilsandong-guGyeonggi-do, Goyang-si, 10408, South Korea.
  • Jeong JH; Department of Radiation Oncology, Proton Therapy Center, National Cancer Center, 323, Ilsan-ro, Ilsandong-guGyeonggi-do, Goyang-si, 10408, South Korea.
Radiat Oncol ; 16(1): 154, 2021 Aug 17.
Article em En | MEDLINE | ID: mdl-34404441
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Neoplasias da Mama / Radioterapia de Intensidade Modulada / Aprendizado Profundo Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Middle aged Idioma: En Revista: Radiat Oncol Assunto da revista: NEOPLASIAS / RADIOTERAPIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Coréia do Sul País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Neoplasias da Mama / Radioterapia de Intensidade Modulada / Aprendizado Profundo Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Middle aged Idioma: En Revista: Radiat Oncol Assunto da revista: NEOPLASIAS / RADIOTERAPIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Coréia do Sul País de publicação: Reino Unido