Deep learning in breast radiology: current progress and future directions.

Ou, William C; Polat, Dogan; Dogan, Basak E

Ou, William C; Polat, Dogan; Dogan, Basak E.

Afiliação

Ou WC; Department of Radiology, Seay Biomedical Building, University of Texas Southwestern Medical Center, 2201 Inwood Road, Dallas, TX, 75390, USA. William.Ou@UTSouthwestern.edu.
Polat D; Department of Radiology, Seay Biomedical Building, University of Texas Southwestern Medical Center, 2201 Inwood Road, Dallas, TX, 75390, USA.
Dogan BE; Department of Radiology, Seay Biomedical Building, University of Texas Southwestern Medical Center, 2201 Inwood Road, Dallas, TX, 75390, USA.

Eur Radiol ; 31(7): 4872-4885, 2021 Jul.

Article em En | MEDLINE | ID: mdl-33449174

Assuntos

Aprendizado Profundo; Radiologia; Inteligência Artificial; Mama; Humanos; Estudos Prospectivos

Palavras-chave

Artificial intelligence; Breast magnetic resonance imaging; Breast ultrasonography; Deep learning; Digital mammography

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google