Deep learning for automated classification of tuberculosis-related chest X-Ray: dataset distribution shift limits diagnostic performance generalizability

BACKGROUND: Machine learning has been an emerging tool for various aspects of infectious diseases including tuberculosis surveillance and detection. However, the World Health Organization (WHO) provided no recommendations on using computer-aided tuberculosis detection software because of a small num...

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Detalles Bibliográficos
Autores principales: Sathitratanacheewin, Seelwan, Sunanta, Panasun, Pongpirul, Krit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396903/
https://www.ncbi.nlm.nih.gov/pubmed/32775757
http://dx.doi.org/10.1016/j.heliyon.2020.e04614

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396903/
https://www.ncbi.nlm.nih.gov/pubmed/32775757
http://dx.doi.org/10.1016/j.heliyon.2020.e04614

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