The use of weakly supervised machine learning for necrosis assessment in patients with osteosarcoma: A pilot study.

LiBrizzi, Christa L; Wang, Zhenzhen; Sulam, Jeremias; James, Aaron W; Levin, Adam S; Morris, Carol D

LiBrizzi, Christa L; Wang, Zhenzhen; Sulam, Jeremias; James, Aaron W; Levin, Adam S; Morris, Carol D.

Afiliación

LiBrizzi CL; Department of Orthopaedic Surgery, Division of Orthopaedic Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Wang Z; Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sulam J; Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
James AW; Department of Pathology, The Johns Hopkins University School of Engineering, Baltimore, Maryland, USA.
Levin AS; Department of Orthopaedic Surgery, Division of Orthopaedic Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Morris CD; Orthopaedic Surgery, Memorial Sloan-Kettering Cancer Center, New York, New York, USA.

J Orthop Res ; 42(2): 453-459, 2024 02.

Article en En | MEDLINE | ID: mdl-37799037

Asunto(s)

Neoplasias Óseas; Osteosarcoma; Humanos; Proyectos Piloto; Estudios Retrospectivos; Osteosarcoma/patología; Aprendizaje Automático Supervisado; Neoplasias Óseas/tratamiento farmacológico; Necrosis

Palabras clave

bone; cancer/tumors; clinical

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Óseas / Osteosarcoma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Orthop Res Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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