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Saliency-guided deep learning network for automatic tumor bed volume delineation in post-operative breast irradiation.
Kazemimoghadam, Mahdieh; Chi, Weicheng; Rahimi, Asal; Kim, Nathan; Alluri, Prasanna; Nwachukwu, Chika; Lu, Weiguo; Gu, Xuejun.
Afiliação
  • Kazemimoghadam M; Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America.
  • Chi W; Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America.
  • Rahimi A; School of Software Engineering, South China University of Technology, Guangzhou, Guangdong 510006, People's Republic of China.
  • Kim N; Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America.
  • Alluri P; Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America.
  • Nwachukwu C; Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America.
  • Lu W; Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America.
Phys Med Biol ; 66(17)2021 08 27.
Article em En | MEDLINE | ID: mdl-34298539
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article