Positron emission tomography-based assessment of metabolic gradient and other prognostic features in sarcoma.

Wolsztynski, Eric; O'Sullivan, Finbarr; Keyes, Eimear; O'Sullivan, Janet; Eary, Janet F

Wolsztynski, Eric; O'Sullivan, Finbarr; Keyes, Eimear; O'Sullivan, Janet; Eary, Janet F.

Afiliação

Wolsztynski E; University College Cork, Statistics Department, Cork, Ireland.
O'Sullivan F; University College Cork, Statistics Department, Cork, Ireland.
Keyes E; University College Cork, Statistics Department, Cork, Ireland.
O'Sullivan J; University College Cork, Statistics Department, Cork, Ireland.
Eary JF; National Cancer Institute, Bethesda, Maryland, United States.

J Med Imaging (Bellingham) ; 5(2): 024502, 2018 Apr.

Article em En | MEDLINE | ID: mdl-29845091

Palavras-chave

FDG-positron emission tomography; heterogeneity; machine learning; metabolic gradient; prognosis; radiomics; sarcoma; spatial modeling; texture

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Med Imaging (Bellingham) Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Irlanda

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