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Using 3D deep features from CT scans for cancer prognosis based on a video classification model: A multi-dataset feasibility study.
Chen, Junhua; Wee, Leonard; Dekker, Andre; Bermejo, Inigo.
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  • Chen J; Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands.
  • Wee L; Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands.
  • Dekker A; Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands.
  • Bermejo I; Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands.
Med Phys ; 50(7): 4220-4233, 2023 Jul.
Article en En | MEDLINE | ID: mdl-37102270
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Neoplasias Pulmonares Tipo de estudio: Prognostic_studies Idioma: En Revista: Med Phys Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Neoplasias Pulmonares Tipo de estudio: Prognostic_studies Idioma: En Revista: Med Phys Año: 2023 Tipo del documento: Article