Hierarchical convolutional models for automatic pneu-monia diagnosis based on X-ray images: new strategies in public health.

Maselli, G; Bertamino, E; Capalbo, C; Mancini, R; Orsi, G B; Napoli, C; Napoli, C

Maselli, G; Bertamino, E; Capalbo, C; Mancini, R; Orsi, G B; Napoli, C; Napoli, C.

Afiliación

Maselli G; Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Rome, Italy.
Bertamino E; Sant'Andrea Hospital, Rome, Italy.
Capalbo C; Sant'Andrea Hospital, Rome, Italy.
Mancini R; Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Orsi GB; Sant'Andrea Hospital, Rome, Italy.
Napoli C; Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Napoli C; Sant'Andrea Hospital, Rome, Italy.

Ann Ig ; 33(6): 644-655, 2021.

Article en En | MEDLINE | ID: mdl-34357370

Asunto(s)

Aprendizaje Profundo; Salud Pública; Inteligencia Artificial; Humanos; SARS-CoV-2; Rayos X

Palabras clave

Accuracy; convolutional neural network; diagnostic process

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Salud Pública / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Ann Ig Asunto de la revista: MICROBIOLOGIA / SAUDE PUBLICA Año: 2021 Tipo del documento: Article País de afiliación: Italia

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