Deep Learning for Radiotherapy Outcome Prediction Using Dose Data - A Review.

Appelt, A L; Elhaminia, B; Gooya, A; Gilbert, A; Nix, M

Appelt, A L; Elhaminia, B; Gooya, A; Gilbert, A; Nix, M.

Afiliação

Appelt AL; Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. Electronic address: a.l.appelt@leeds.ac.uk.
Elhaminia B; Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Department of Electronic and Electrical Engineering, University of Leeds, Leeds, UK.
Gooya A; Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Department of Electronic and Electrical Engineering, University of Leeds, Leeds, UK.
Gilbert A; Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Nix M; Department of Medical Physics and Engineering, Leeds Cancer Centre, St James's University Hospital, Leeds, UK.

Clin Oncol (R Coll Radiol) ; 34(2): e87-e96, 2022 02.

Article em En | MEDLINE | ID: mdl-34924256

Assuntos

Aprendizado Profundo; Radioterapia (Especialidade); Inteligência Artificial; Humanos; Prognóstico; Dosagem Radioterapêutica

Palavras-chave

Artificial Intelligence; Deep Learning; Outcome Prediction; Radiotherapy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radioterapia (Especialidade) / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Clin Oncol (R Coll Radiol) Assunto da revista: NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article

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