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Deploying deep learning models on unseen medical imaging using adversarial domain adaptation.
Valliani, Aly A; Gulamali, Faris F; Kwon, Young Joon; Martini, Michael L; Wang, Chiatse; Kondziolka, Douglas; Chen, Viola J; Wang, Weichung; Costa, Anthony B; Oermann, Eric K.
Afiliação
  • Valliani AA; Department of Neurosurgery, Mount Sinai Health System, New York, NY, United States of America.
  • Gulamali FF; Department of Neurosurgery, Mount Sinai Health System, New York, NY, United States of America.
  • Kwon YJ; Department of Neurosurgery, Mount Sinai Health System, New York, NY, United States of America.
  • Martini ML; Department of Neurosurgery, Mount Sinai Health System, New York, NY, United States of America.
  • Wang C; Data Science Degree Program, National Taiwan University, Taipei, Taiwan.
  • Kondziolka D; Department of Neurosurgery, New York University Langone Medical Center, New York, NY, United States of America.
  • Chen VJ; Department of Radiation Oncology, New York University Langone Medical Center, New York, NY, United States of America.
  • Wang W; Oncology Early Development, Merck Co., Inc, Kenilworth, NJ, United States of America.
  • Costa AB; Data Science Degree Program, National Taiwan University, Taipei, Taiwan.
  • Oermann EK; Institute of Applied Mathematical Sciences, National Taiwan University, Taipei, Taiwan.
PLoS One ; 17(10): e0273262, 2022.
Article em En | MEDLINE | ID: mdl-36240135
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article