Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients.

Moe, Yngve Mardal; Groendahl, Aurora Rosvoll; Tomic, Oliver; Dale, Einar; Malinen, Eirik; Futsaether, Cecilia Marie

Moe, Yngve Mardal; Groendahl, Aurora Rosvoll; Tomic, Oliver; Dale, Einar; Malinen, Eirik; Futsaether, Cecilia Marie.

Afiliação

Moe YM; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway.
Groendahl AR; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway.
Tomic O; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway.
Dale E; Department of Oncology, Oslo University Hospital, Oslo, Norway.
Malinen E; Department of Medical Physics, Oslo University Hospital, Oslo, Norway.
Futsaether CM; Department of Physics, University of Oslo, Oslo, Norway.

Eur J Nucl Med Mol Imaging ; 48(9): 2782-2792, 2021 08.

Article em En | MEDLINE | ID: mdl-33559711

Assuntos

Aprendizado Profundo; Neoplasias de Cabeça e Pescoço; Neoplasias de Cabeça e Pescoço/diagnóstico por imagem; Humanos; Variações Dependentes do Observador; Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada; Carga Tumoral

Palavras-chave

Automatic delineation; Deep learning; Delineation; Head and neck cancer

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias de Cabeça e Pescoço Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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