Pulmonary Diffuse Airspace Opacities Diagnosis from Chest X-Ray Images Using Deep Convolutional Neural Networks Fine-Tuned by Whale Optimizer

The early diagnosis and the accurate separation of COVID-19 from non-COVID-19 cases based on pulmonary diffuse airspace opacities is one of the challenges facing researchers. Recently, researchers try to exploit the Deep Learning (DL) method’s capability to assist clinicians and radiologists in diag...

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Detalles Bibliográficos
Autores principales: Wang, Xusheng, Gong, Cunqi, Khishe, Mohammad, Mohammadi, Mokhtar, Rashid, Tarik A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635480/
https://www.ncbi.nlm.nih.gov/pubmed/34873379
http://dx.doi.org/10.1007/s11277-021-09410-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635480/
https://www.ncbi.nlm.nih.gov/pubmed/34873379
http://dx.doi.org/10.1007/s11277-021-09410-2

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