A radiographic, deep transfer learning framework, adapted to estimate lung opacities from chest x-rays.

Vardhan, Avantika; Makhnevich, Alex; Omprakash, Pravan; Hirschorn, David; Barish, Matthew; Cohen, Stuart L; Zanos, Theodoros P

Vardhan, Avantika; Makhnevich, Alex; Omprakash, Pravan; Hirschorn, David; Barish, Matthew; Cohen, Stuart L; Zanos, Theodoros P.

Afiliação

Vardhan A; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, 11030, USA.
Makhnevich A; Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, 11030, USA.
Omprakash P; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, 11030, USA.
Hirschorn D; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY, 11549, USA.
Barish M; Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, 11030, USA.
Cohen SL; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, 11030, USA.
Zanos TP; Department of Information Services, Northwell Health, New Hyde Park, NY, 11042, USA.

Bioelectron Med ; 9(1): 1, 2023 Jan 03.

Article em En | MEDLINE | ID: mdl-36597113

Palavras-chave

Chest X-ray (CXR); Deep transfer learning; Heatmap concordance; Lung opacity; Ordinal classification; Pretrained model

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: Bioelectron Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

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