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Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer.
De Biase, Alessia; Ma, Baoqiang; Guo, Jiapan; van Dijk, Lisanne V; Langendijk, Johannes A; Both, Stefan; van Ooijen, Peter M A; Sijtsema, Nanna M.
Afiliação
  • De Biase A; Department of Radiation Oncology, University Medical Centre Groningen (UMCG), RB, Groningen 9700, the Netherlands; Data Science Centre in Health (DASH), University Medical Centre Groningen (UMCG), RB, Groningen 9700, the Netherlands.
  • Ma B; Department of Radiation Oncology, University Medical Centre Groningen (UMCG), RB, Groningen 9700, the Netherlands. Electronic address: b.ma@umcg.nl.
  • Guo J; Computer Science and Artificial Intelligence, Bernoulli Institute for Mathematics, University of Groningen (RUG), Groningen, AK 9700, the Netherlands.
  • van Dijk LV; Department of Radiation Oncology, University Medical Centre Groningen (UMCG), RB, Groningen 9700, the Netherlands.
  • Langendijk JA; Department of Radiation Oncology, University Medical Centre Groningen (UMCG), RB, Groningen 9700, the Netherlands.
  • Both S; Department of Radiation Oncology, University Medical Centre Groningen (UMCG), RB, Groningen 9700, the Netherlands.
  • van Ooijen PMA; Department of Radiation Oncology, University Medical Centre Groningen (UMCG), RB, Groningen 9700, the Netherlands; Data Science Centre in Health (DASH), University Medical Centre Groningen (UMCG), RB, Groningen 9700, the Netherlands.
  • Sijtsema NM; Department of Radiation Oncology, University Medical Centre Groningen (UMCG), RB, Groningen 9700, the Netherlands.
Comput Methods Programs Biomed ; 244: 107939, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38008678

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Orofaríngeas / Aprendizado Profundo / Neoplasias de Cabeça e Pescoço Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Holanda País de publicação: Irlanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Orofaríngeas / Aprendizado Profundo / Neoplasias de Cabeça e Pescoço Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Holanda País de publicação: Irlanda