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

• Main Authors: O.S. Albahri (Author), A.A. Zaidan (Author), A.S. Albahri (Author), B.B. Zaidan (Author), Karrar Hameed Abdulkareem (Author), Z.T. Al-qaysi (Author), A.H. Alamoodi (Author), A.M. Aleesa (Author), M.A. Chyad (Author), R.M. Alesa (Author), L.C. Kem (Author), Muhammad Modi Lakulu (Author), A.B. Ibrahim (Author), Nazre Abdul Rashid (Author)
• Format: Book
• Published: Elsevier, 2020-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...