Automatic COVID-19 detection mechanisms and approaches from medical images: a systematic review.

Rahmani, Amir Masoud; Azhir, Elham; Naserbakht, Morteza; Mohammadi, Mokhtar; Aldalwie, Adil Hussein Mohammed; Majeed, Mohammed Kamal; Taher Karim, Sarkhel H; Hosseinzadeh, Mehdi

Rahmani, Amir Masoud; Azhir, Elham; Naserbakht, Morteza; Mohammadi, Mokhtar; Aldalwie, Adil Hussein Mohammed; Majeed, Mohammed Kamal; Taher Karim, Sarkhel H; Hosseinzadeh, Mehdi.

Afiliación

Rahmani AM; Future Technology Research Center, National Yunlin University of Science and Technology, Douliu, Yunlin Taiwan.
Azhir E; Research and Development Center, Mobile Telecommunication Company of Iran, Tehran, Iran.
Naserbakht M; Mental Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran.
Mohammadi M; Department of Information Technology, College of Engineering and Computer Science, Lebanese French University, Kurdistan Region, Iraq.
Aldalwie AHM; Department of Communication and Computer Engineering, Faculty of Engineering, Cihan University-Erbil, Kurdistan Region, Iraq.
Majeed MK; Information Technology Department, Faculty of Applied Science, Tishk International University, Erbil, Iraq.
Taher Karim SH; Computer Department, College of Science, University of Halabja, Halabja, Iraq.
Hosseinzadeh M; Computer Networks Department, Sulaimani Polytechnic University, Technical College of Informatics, Sulaymaniyah, Iraq.

Multimed Tools Appl ; 81(20): 28779-28798, 2022.

Article en En | MEDLINE | ID: mdl-35382107

Palabras clave

Artificial intelligence; COVID-19; Literature review; Machine learning; Medical image

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Screening_studies / Systematic_reviews Idioma: En Revista: Multimed Tools Appl Año: 2022 Tipo del documento: Article

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