Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems

Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for pulmonary tuberculosis (TB). No published studies have compared multiple DL systems and populations. We conducted a retrospective evaluation of three DL systems (C...

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Detalles Bibliográficos
Autores principales: Qin, Zhi Zhen, Sander, Melissa S., Rai, Bishwa, Titahong, Collins N., Sudrungrot, Santat, Laah, Sylvain N., Adhikari, Lal Mani, Carter, E. Jane, Puri, Lekha, Codlin, Andrew J., Creswell, Jacob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6802077/
https://www.ncbi.nlm.nih.gov/pubmed/31628424
http://dx.doi.org/10.1038/s41598-019-51503-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6802077/
https://www.ncbi.nlm.nih.gov/pubmed/31628424
http://dx.doi.org/10.1038/s41598-019-51503-3

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