Deep learning for noninvasive liver fibrosis classification: A systematic review.

Anteby, Roi; Klang, Eyal; Horesh, Nir; Nachmany, Ido; Shimon, Orit; Barash, Yiftach; Kopylov, Uri; Soffer, Shelly

Anteby, Roi; Klang, Eyal; Horesh, Nir; Nachmany, Ido; Shimon, Orit; Barash, Yiftach; Kopylov, Uri; Soffer, Shelly.

Afiliação

Anteby R; School of Public Health, Harvard University, Boston, MA, USA.
Klang E; Department of Population Health Science and Policy, Institute for Healthcare Delivery Science, New York, NY, USA.
Horesh N; Sackler Medical School, Tel Aviv University, Tel Aviv, Israel.
Nachmany I; Deep Vision Lab, The Chaim Sheba Medical Center, Ramat Gan, Israel.
Shimon O; Department of Diagnostic Imaging, Sheba Medical Center, Tel Hashomer, Israel.
Barash Y; Sackler Medical School, Tel Aviv University, Tel Aviv, Israel.
Kopylov U; Department of Surgery and Transplantation B, Sheba Medical Center, Tel Hashomer, Israel.
Soffer S; Sackler Medical School, Tel Aviv University, Tel Aviv, Israel.

Liver Int ; 41(10): 2269-2278, 2021 10.

Article em En | MEDLINE | ID: mdl-34008300

Assuntos

Aprendizado Profundo; Técnicas de Imagem por Elasticidade; Humanos; Cirrose Hepática/diagnóstico por imagem; Imageamento por Ressonância Magnética; Estudos Retrospectivos; Ultrassonografia

Palavras-chave

deep learning; diagnostic imaging; liver fibrosis; neural networks (computer)

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Técnicas de Imagem por Elasticidade / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google