Radiologist-supervised Transfer Learning: Improving Radiographic Localization of Pneumonia and Prognostication of Patients With COVID-19.

Hurt, Brian; Rubel, Meagan A; Masutani, Evan M; Jacobs, Kathleen; Hahn, Lewis; Horowitz, Michael; Kligerman, Seth; Hsiao, Albert

Hurt, Brian; Rubel, Meagan A; Masutani, Evan M; Jacobs, Kathleen; Hahn, Lewis; Horowitz, Michael; Kligerman, Seth; Hsiao, Albert.

Afiliação

Hurt B; Department of Radiology, University of California San Diego School of Medicine.
Rubel MA; Department of Radiology, University of California San Diego School of Medicine.
Masutani EM; Department of Radiology, University of California San Diego School of Medicine.
Jacobs K; Department of Bioengineering, University of California, San Diego, San Diego, CA.
Hahn L; Department of Radiology, University of California San Diego School of Medicine.
Horowitz M; Department of Radiology, University of California San Diego School of Medicine.
Kligerman S; Department of Radiology, University of California San Diego School of Medicine.
Hsiao A; Department of Radiology, University of California San Diego School of Medicine.

J Thorac Imaging ; 37(2): 90-99, 2022 Mar 01.

Article em En | MEDLINE | ID: mdl-34710891

Assuntos

COVID-19; Pneumonia; Inteligência Artificial; Humanos; Aprendizado de Máquina; Pneumonia/diagnóstico por imagem; Radiologistas; Estudos Retrospectivos; SARS-CoV-2

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pneumonia / COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Thorac Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2022 Tipo de documento: Article

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