Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden Stratification.

Tang, Cyril H M; Seah, Jarrel C Y; Ahmad, Hassan K; Milne, Michael R; Wardman, Jeffrey B; Buchlak, Quinlan D; Esmaili, Nazanin; Lambert, John F; Jones, Catherine M

Tang, Cyril H M; Seah, Jarrel C Y; Ahmad, Hassan K; Milne, Michael R; Wardman, Jeffrey B; Buchlak, Quinlan D; Esmaili, Nazanin; Lambert, John F; Jones, Catherine M.

Afiliação

Tang CHM; Annalise.ai, Sydney, NSW 2000, Australia.
Seah JCY; Intensive Care Unit, Gosford Hospital, Sydney, NSW 2250, Australia.
Ahmad HK; Annalise.ai, Sydney, NSW 2000, Australia.
Milne MR; Department of Radiology, Alfred Health, Melbourne, VIC 3004, Australia.
Wardman JB; Annalise.ai, Sydney, NSW 2000, Australia.
Buchlak QD; Annalise.ai, Sydney, NSW 2000, Australia.
Esmaili N; Annalise.ai, Sydney, NSW 2000, Australia.
Lambert JF; Annalise.ai, Sydney, NSW 2000, Australia.
Jones CM; School of Medicine, The University of Notre Dame Australia, Sydney, NSW 2007, Australia.

Diagnostics (Basel) ; 13(14)2023 Jul 09.

Article em En | MEDLINE | ID: mdl-37510062

Palavras-chave

chest X-ray; deep learning; hidden stratification; lines and tubes; machine learning

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália

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