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AI-driven deep and handcrafted features selection approach for Covid-19 and chest related diseases identification
To identify various pneumonia types, a gap of 15% value is being created every five years. To fill this gap, accurate detection of chest disease is required in the healthcare department to avoid any serious issues in the future. Testing the affected lungs to detect a Coronavirus 2019 (COVID-19) usin...
| Autores principales: | , , , |
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| 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/PMC9362623/ https://www.ncbi.nlm.nih.gov/pubmed/35968412 http://dx.doi.org/10.1007/s11042-022-13499-3 |