COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images

SIMPLE SUMMARY: The study proposes an automated deep learning-based classification model, based on a Convolutional Neural Network, that demonstrates a rapid detection rate for COVID-19. The training dataset consists of 3616 COVID-19 chest X-ray images and 10,192 healthy chest X-ray images which were...

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Detalles Bibliográficos
Autores principales: Akter, Shamima, Shamrat, F. M. Javed Mehedi, Chakraborty, Sovon, Karim, Asif, Azam, Sami
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614951/
https://www.ncbi.nlm.nih.gov/pubmed/34827167
http://dx.doi.org/10.3390/biology10111174

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614951/
https://www.ncbi.nlm.nih.gov/pubmed/34827167
http://dx.doi.org/10.3390/biology10111174

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