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Deep convolutional neural networks for COVID-19 automatic diagnosis.

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第一作者： Heba M,Emara

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

作者： Heba M,Emara ^[1] ; Mohamed R,Shoaib ^[1] ; Mohamed,Elwekeil ^[1] ; Walid,El-Shafai ^[2] ; Taha E,Taha ^[1] ; Adel S,El-Fishawy ^[1] ; El-Sayed M,El-Rabaie ^[1] ; Saleh A,Alshebeili ^[3] ; Moawad I,Dessouky ^[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, Egypt. ^[1] Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.;Security Engineering Lab, Computer Science Department, Prince Sultan University, Riyadh, Saudi Arabia. ^[2] Electrical Engineering Department, KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), King Saud University, Riyadh, Saudi Arabia.;Department of Electrical Engineering, King Saud University, Riyadh, Saudi Arabia. ^[3] Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.;Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia. ^[4]

关键词 Coronavirus chest X-ray radiographs deep learning pre-trained convolutional neural network

医学主题词人类(Humans);放射摄影术, 胸部(Radiography, Thoracic)

DOI 10.1002/jemt.23713

PMID 34121273

发布时间 2022-07-16

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