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Clinical evaluation of a deep learning model for segmentation of target volumes in breast cancer radiotherapy.
Buelens, P; Willems, S; Vandewinckele, L; Crijns, W; Maes, F; Weltens, C G.
Afiliação
  • Buelens P; KU Leuven - University of Leuven, Department of Oncology, Experimental Radiation Oncology, Belgium; University Hospitals Leuven, Department of Radiation Oncology, Belgium.
  • Willems S; Medical Imaging Research Center, University Hospitals Leuven, Belgium; Department of Electrical Engineering, ESAT/PSI, KU Leuven, Belgium.
  • Vandewinckele L; KU Leuven - University of Leuven, Department of Oncology, Experimental Radiation Oncology, Belgium; University Hospitals Leuven, Department of Radiation Oncology, Belgium.
  • Crijns W; KU Leuven - University of Leuven, Department of Oncology, Experimental Radiation Oncology, Belgium; University Hospitals Leuven, Department of Radiation Oncology, Belgium.
  • Maes F; Medical Imaging Research Center, University Hospitals Leuven, Belgium; Department of Electrical Engineering, ESAT/PSI, KU Leuven, Belgium.
  • Weltens CG; KU Leuven - University of Leuven, Department of Oncology, Experimental Radiation Oncology, Belgium; University Hospitals Leuven, Department of Radiation Oncology, Belgium. Electronic address: siri.willems@kuleuven.be.
Radiother Oncol ; 171: 84-90, 2022 06.
Article em En | MEDLINE | ID: mdl-35447286
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Aprendizado Profundo Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Qualitative_research Limite: Female / Humans 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: Neoplasias da Mama / Aprendizado Profundo Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Qualitative_research Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article