COVIDXception-Net: A Bayesian Optimization-Based Deep Learning Approach to Diagnose COVID-19 from X-Ray Images

COVID-19 is spreading around the world like wildfire. Chest X-rays are used as one of the primary tools for diagnosing COVID-19. However, about two-thirds of the world population do not have access to sufficient radiological services. In this work, we propose a deep learning-driven automated system,...

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Detalles Bibliográficos
Autores principales: Arman, Shifat E., Rahman, Sejuti, Deowan, Shamim Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717305/
https://www.ncbi.nlm.nih.gov/pubmed/34981040
http://dx.doi.org/10.1007/s42979-021-00980-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717305/
https://www.ncbi.nlm.nih.gov/pubmed/34981040
http://dx.doi.org/10.1007/s42979-021-00980-3

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