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Hybrid classification structures for automatic COVID-19 detection.

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第一作者： Mohamed R,Shoaib

第一单位： Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952 Egypt.

作者： Mohamed R,Shoaib ^[1] ; Heba M,Emara ^[1] ; Mohamed,Elwekeil ^[2] ; Walid,El-Shafai ^[3] ; Taha E,Taha ^[1] ; Adel S,El-Fishawy ^[1] ; El-Sayed M,El-Rabaie ^[1] ; Fathi E Abd,El-Samie ^[4]

作者单位： Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952 Egypt. ^[1] Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952 Egypt.;Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, Cassino, Italy. ^[2] Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952 Egypt.;Security Engineering Lab, Computer Science Department, Prince Sultan University, Riyadh, 11586 Saudi Arabia. ^[3] Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952 Egypt.;Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia. ^[4]

关键词 Chest X-ray radiographs Coronavirus Deep feature extraction Transfer learning

DOI 10.1007/s12652-021-03686-9

PMID 35280854

发布时间 2022-08-22

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