A multi-class classification framework for disease screening and disease diagnosis of COVID-19 from chest X-ray images

To accurately diagnose multiple lung diseases from chest X-rays, the critical aspect is to identify lung diseases with high sensitivity and specificity. This study proposed a novel multi-class classification framework that minimises either false positives or false negatives that is useful in compute...

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Detalles Bibliográficos
Autores principales: Jangam, Ebenezer, Annavarapu, Chandra Sekhara Rao, Barreto, Aaron Antonio Dias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490695/
https://www.ncbi.nlm.nih.gov/pubmed/36157353
http://dx.doi.org/10.1007/s11042-022-13710-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490695/
https://www.ncbi.nlm.nih.gov/pubmed/36157353
http://dx.doi.org/10.1007/s11042-022-13710-5

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