A Self-Attention-Guided 3D Deep Residual Network With Big Transfer to Predict Local Failure in Brain Metastasis After Radiotherapy Using Multi-Channel MRI.

Jalalifar, Seyed Ali; Soliman, Hany; Sahgal, Arjun; Sadeghi-Naini, Ali

Jalalifar, Seyed Ali; Soliman, Hany; Sahgal, Arjun; Sadeghi-Naini, Ali.

Afiliação

Jalalifar SA; Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork University Toronto ON M3J 1P3 Canada.
Soliman H; Physical Sciences PlatformSunnybrook Research Institute, Sunnybrook Health Sciences Centre Toronto ON M4N 3M5 Canada.
Sahgal A; Department of Radiation OncologyOdette Cancer CentreSunnybrook Health Sciences Centre Toronto ON M4N 3M5 Canada.
Sadeghi-Naini A; Department of Radiation OncologyUniversity of Toronto Toronto ON M5T 1P5 Canada.

IEEE J Transl Eng Health Med ; 11: 13-22, 2023.

Article em En | MEDLINE | ID: mdl-36478770

Assuntos

Neoplasias Encefálicas; Humanos; Neoplasias Encefálicas/diagnóstico por imagem

Palavras-chave

Attention mechanism; brain metastasis; deep learning; stereotactic radiotherapy; therapy outcome prediction

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: IEEE J Transl Eng Health Med Ano de publicação: 2023 Tipo de documento: Article

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