Machine Learning-Based Radiomics in Neuro-Oncology.

Ehret, Felix; Kaul, David; Clusmann, Hans; Delev, Daniel; Kernbach, Julius M

Ehret, Felix; Kaul, David; Clusmann, Hans; Delev, Daniel; Kernbach, Julius M.

Afiliación

Ehret F; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
Kaul D; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiation Oncology, Berlin, Germany.
Clusmann H; European Cyberknife Center Munich, Munich, Germany.
Delev D; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiation Oncology, Berlin, Germany.
Kernbach JM; German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Acta Neurochir Suppl ; 134: 139-151, 2022.

Article en En | MEDLINE | ID: mdl-34862538

Asunto(s)

Inteligencia Artificial; Neoplasias Encefálicas; Encéfalo; Neoplasias Encefálicas/diagnóstico por imagen; Humanos; Aprendizaje Automático; Estudios Multicéntricos como Asunto

Palabras clave

Artificial intelligence; Deep learning; Glioma; Machine learning; Metastases; Neuro-oncology; Precision medicine; Radiomics

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Inteligencia Artificial Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Acta Neurochir Suppl Año: 2022 Tipo del documento: Article País de afiliación: Alemania

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