Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects

This study presents a systematic review of artificial intelligence (AI) techniques used in the detection and classification of coronavirus disease 2019 (COVID-19) medical images in terms of evaluation and benchmarking. Five reliable databases, namely, IEEE Xplore, Web of Science, PubMed, ScienceDire...

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Detalles Bibliográficos
Autores principales: Albahri, O.S., Zaidan, A.A., Albahri, A.S., Zaidan, B.B., Abdulkareem, Karrar Hameed, Al-qaysi, Z.T., Alamoodi, A.H., Aleesa, A.M., Chyad, M.A., Alesa, R.M., Kem, L.C., Lakulu, Muhammad Modi, Ibrahim, A.B., Rashid, Nazre Abdul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7328559/
https://www.ncbi.nlm.nih.gov/pubmed/32646771
http://dx.doi.org/10.1016/j.jiph.2020.06.028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7328559/
https://www.ncbi.nlm.nih.gov/pubmed/32646771
http://dx.doi.org/10.1016/j.jiph.2020.06.028

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