Deep learning classification of active tuberculosis lung zones wise manifestations using chest X-rays: a multi label approach

Chest X-rays are the most economically viable diagnostic imaging test for active pulmonary tuberculosis screening despite the high sensitivity and low specificity when interpreted by clinicians or radiologists. Computer aided detection (CAD) algorithms, especially convolution based deep learning arc...

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Detalles Bibliográficos
Autores principales: Devasia, James, Goswami, Hridayanand, Lakshminarayanan, Subitha, Rajaram, Manju, Adithan, Subathra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845381/
https://www.ncbi.nlm.nih.gov/pubmed/36650270
http://dx.doi.org/10.1038/s41598-023-28079-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845381/
https://www.ncbi.nlm.nih.gov/pubmed/36650270
http://dx.doi.org/10.1038/s41598-023-28079-0

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