Usefulness of computed tomography textural analysis in renal cell carcinoma nuclear grading.

Alnazer, Israa; Falou, Omar; Bourdon, Pascal; Urruty, Thierry; Guillevin, Rémy; Khalil, Mohamad; Shahin, Ahmad; Fernandez-Maloigne, Christine

Alnazer, Israa; Falou, Omar; Bourdon, Pascal; Urruty, Thierry; Guillevin, Rémy; Khalil, Mohamad; Shahin, Ahmad; Fernandez-Maloigne, Christine.

Afiliação

Alnazer I; Université de Poitiers, XLIM-ICONES, UMR CNRS 7252, Poitiers, France.
Falou O; Laboratoire commun CNRS/SIEMENS I3M, Poitiers, France.
Bourdon P; Lebanese University, AZM Center for Research in Biotechnology and Its Applications, EDST, Tripoli, Lebanon.
Urruty T; Lebanese University, AZM Center for Research in Biotechnology and Its Applications, EDST, Tripoli, Lebanon.
Guillevin R; American University of Culture and Education, Koura, Lebanon.
Khalil M; Lebanese University, Faculty of Science, Tripoli, Lebanon.
Shahin A; Centre Hospitalier Universitaire de Poitiers, Poitiers, France.
Fernandez-Maloigne C; Université de Poitiers, XLIM-ICONES, UMR CNRS 7252, Poitiers, France.

J Med Imaging (Bellingham) ; 9(5): 054501, 2022 Sep.

Article em En | MEDLINE | ID: mdl-36120414

Palavras-chave

computer-aided diagnosis; machine learning; renal cell carcinoma tumor grading; 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: 2022 Tipo de documento: Article País de afiliação: França

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