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

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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Bibliographic Details
Main Authors: O.S. Albahri, A.A. Zaidan, A.S. Albahri, B.B. Zaidan, Karrar Hameed Abdulkareem, Z.T. Al-qaysi, A.H. Alamoodi, A.M. Aleesa, M.A. Chyad, R.M. Alesa, L.C. Kem, Muhammad Modi Lakulu, A.B. Ibrahim, Nazre Abdul Rashid
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Journal of Infection and Public Health
Subjects:
COVID-19
Medical image
Artificial intelligence
Evaluation
Benchmarking
Decision-making
Online Access:http://www.sciencedirect.com/science/article/pii/S187603412030558X

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http://www.sciencedirect.com/science/article/pii/S187603412030558X

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