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...

Descripción completa

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

Internet

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

Ejemplares similares