Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs

BACKGROUND: Detection of active pulmonary tuberculosis on chest radiographs (CRs) is critical for the diagnosis and screening of tuberculosis. An automated system may help streamline the tuberculosis screening process and improve diagnostic performance. METHODS: We developed a deep learning–based au...

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Detalles Bibliográficos
Autores principales: Hwang, Eui Jin, Park, Sunggyun, Jin, Kwang-Nam, Kim, Jung Im, Choi, So Young, Lee, Jong Hyuk, Goo, Jin Mo, Aum, Jaehong, Yim, Jae-Joon, Park, Chang Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Articles and Commentaries
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695514/
https://www.ncbi.nlm.nih.gov/pubmed/30418527
http://dx.doi.org/10.1093/cid/ciy967

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695514/
https://www.ncbi.nlm.nih.gov/pubmed/30418527
http://dx.doi.org/10.1093/cid/ciy967

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