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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...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| 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 |
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