Your browser doesn't support javascript.
loading
Automated clinical decision support system with deep learning dose prediction and NTCP models to evaluate treatment complications in patients with esophageal cancer.
Draguet, Camille; Barragán-Montero, Ana M; Vera, Macarena Chocan; Thomas, Melissa; Populaire, Pieter; Defraene, Gilles; Haustermans, Karin; Lee, John A; Sterpin, Edmond.
Afiliação
  • Draguet C; UCLouvain, Institut de Recherche Expérimentale et Clinique, Molecular Imaging Radiotherapy and Oncology (MIRO), Brussels, Belgium; KU Leuven, Department of Oncology, Laboratory of Experimental Radiotherapy, Leuven, Belgium. Electronic address: camille.draguet@uclouvain.be.
  • Barragán-Montero AM; UCLouvain, Institut de Recherche Expérimentale et Clinique, Molecular Imaging Radiotherapy and Oncology (MIRO), Brussels, Belgium.
  • Vera MC; UCLouvain, Institut de Recherche Expérimentale et Clinique, Molecular Imaging Radiotherapy and Oncology (MIRO), Brussels, Belgium.
  • Thomas M; KU Leuven, Department of Oncology, Laboratory of Experimental Radiotherapy, Leuven, Belgium; University Hospitals Leuven, Department of Radiation Oncology, 3000 Leuven, Belgium.
  • Populaire P; KU Leuven, Department of Oncology, Laboratory of Experimental Radiotherapy, Leuven, Belgium; University Hospitals Leuven, Department of Radiation Oncology, 3000 Leuven, Belgium.
  • Defraene G; KU Leuven, Department of Oncology, Laboratory of Experimental Radiotherapy, Leuven, Belgium.
  • Haustermans K; KU Leuven, Department of Oncology, Laboratory of Experimental Radiotherapy, Leuven, Belgium; University Hospitals Leuven, Department of Radiation Oncology, 3000 Leuven, Belgium.
  • Lee JA; UCLouvain, Institut de Recherche Expérimentale et Clinique, Molecular Imaging Radiotherapy and Oncology (MIRO), Brussels, Belgium.
  • Sterpin E; UCLouvain, Institut de Recherche Expérimentale et Clinique, Molecular Imaging Radiotherapy and Oncology (MIRO), Brussels, Belgium; KU Leuven, Department of Oncology, Laboratory of Experimental Radiotherapy, Leuven, Belgium.
Radiother Oncol ; 176: 101-107, 2022 11.
Article em En | MEDLINE | ID: mdl-36167194
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Esofágicas / Sistemas de Apoio a Decisões Clínicas / Radioterapia de Intensidade Modulada / Terapia com Prótons / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Radiother Oncol Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Esofágicas / Sistemas de Apoio a Decisões Clínicas / Radioterapia de Intensidade Modulada / Terapia com Prótons / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Radiother Oncol Ano de publicação: 2022 Tipo de documento: Article