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Deep Transfer Learning for COVID-19 Prediction: Case Study for Limited Data Problems

OBJECTIVE: Automatic prediction of COVID-19 using deep convolution neural networks based pre-trained transfer models and Chest X-ray images. METHODS: This research employs the advantages of computer vision and medical image analysis to develop an automated model that has the clinical potential for e...

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Detalles Bibliográficos
Autores principales:	Albahli, Saleh, Albattah, Waleed
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Bentham Science Publishers 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8653418/ https://www.ncbi.nlm.nih.gov/pubmed/33231160 http://dx.doi.org/10.2174/1573405616666201123120417

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