Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer.

Sepehri, Shima; Tankyevych, Olena; Upadhaya, Taman; Visvikis, Dimitris; Hatt, Mathieu; Cheze Le Rest, Catherine

Sepehri, Shima; Tankyevych, Olena; Upadhaya, Taman; Visvikis, Dimitris; Hatt, Mathieu; Cheze Le Rest, Catherine.

Afiliación

Sepehri S; LaTIM, INSERM, UMR 1101, University Brest, 29200 Brest, France.
Tankyevych O; LaTIM, INSERM, UMR 1101, University Brest, 29200 Brest, France.
Upadhaya T; Nuclear Medicine Department, CHU Milétrie, 86021 Poitiers, France.
Visvikis D; Nuclear Medicine Department, CHU Milétrie, 86021 Poitiers, France.
Hatt M; LaTIM, INSERM, UMR 1101, University Brest, 29200 Brest, France.
Cheze Le Rest C; LaTIM, INSERM, UMR 1101, University Brest, 29200 Brest, France.

Diagnostics (Basel) ; 11(4)2021 Apr 09.

Article en En | MEDLINE | ID: mdl-33918681

Palabras clave

machine learning; non-small cell lung cancer; prognosis; prospective study; radiomics

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Diagnostics (Basel) Año: 2021 Tipo del documento: Article

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