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Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort

PURPOSE: This study evaluated the performance of a commercially available deep-learning algorithm (DLA) (Insight CXR, Lunit, Seoul, South Korea) for referable thoracic abnormalities on chest X-ray (CXR) using a consecutively collected multicenter health screening cohort. METHODS AND MATERIALS: A con...

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Detalles Bibliográficos
Autores principales:	Kim, Eun Young, Kim, Young Jae, Choi, Won-Jun, Lee, Gi Pyo, Choi, Ye Ra, Jin, Kwang Nam, Cho, Young Jun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894861/ https://www.ncbi.nlm.nih.gov/pubmed/33606779 http://dx.doi.org/10.1371/journal.pone.0246472

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