Two-Dimensional Aortic Size Normalcy: A Novelty Detection Approach.

Frasconi, Paolo; Baracchi, Daniele; Giusti, Betti; Kura, Ada; Spaziani, Gaia; Cherubini, Antonella; Favilli, Silvia; Di Lenarda, Andrea; Pepe, Guglielmina; Nistri, Stefano

Frasconi, Paolo; Baracchi, Daniele; Giusti, Betti; Kura, Ada; Spaziani, Gaia; Cherubini, Antonella; Favilli, Silvia; Di Lenarda, Andrea; Pepe, Guglielmina; Nistri, Stefano.

Afiliación

Frasconi P; Department of Information Engineering, University of Florence, 50139 Florence, Italy.
Baracchi D; Department of Information Engineering, University of Florence, 50139 Florence, Italy.
Giusti B; Department of Experimental and Clinical Medicine, University of Florence, 50139 Florence, Italy.
Kura A; Atherothrombotic Diseases Center, Careggi Hospital, 50139 Florence, Italy.
Spaziani G; Marfan Syndrome and Related Disorders Regional (Tuscany) Referral Center, Careggi Hospital, 50139 Florence, Italy.
Cherubini A; Department of Experimental and Clinical Medicine, University of Florence, 50139 Florence, Italy.
Favilli S; Department of Pediatric Cardiology, Meyer Hospital, 50139 Florence, Italy.
Di Lenarda A; Cardiovascular Center, Azienda Sanitaria-Universitaria Integrata of Trieste, 34125 Trieste, Italy.
Pepe G; Department of Pediatric Cardiology, Meyer Hospital, 50139 Florence, Italy.
Nistri S; Cardiovascular Center, Azienda Sanitaria-Universitaria Integrata of Trieste, 34125 Trieste, Italy.

Diagnostics (Basel) ; 11(2)2021 Feb 02.

Article en En | MEDLINE | ID: mdl-33540834

Palabras clave

Z-score; echocardiography; machine learning; normalcy; sinuses of Valsalva; thoracic aorta

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Diagnostics (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Italia

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