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:: Volume 8, Issue 16 (3-2022) ::
عصر برق 2022, 8(16): 43-55 Back to browse issues page
Deep learning in chest CT-scan images processing of covid-19 patients
Abstract:   (150 Views)
Corona disease started in January 2020 in the wholesale fish market in Wuhan, China, and the World Health Organization declared it as a public disease and an international hazard, and in February 2020 named it Corona or Covid-19. Under this global pandemic, using artificial intelligence techniques especially convolutional neural networks based on deep learning for screening chest CT images are becoming more vital as before. The most studies in this field belong to the articles based on the deep learning methodologies using convolution neural networks. Already, obtained accuracies of detection and screening have benn reported in the article based on artificial intelligence and deep learning are more than 95 percent. The lack of comprehensive datasets of CT images with a large amount of samples is one of the most important problems in this field. Using hybrid architectures of convolutional neural networks have been increased the accuracy of these networks up to 99 percent.

 
Keywords: Covid-19, convolutional neural networks, deep learning, chest CT images.
Full-Text [PDF 2179 kb]   (254 Downloads)    
Type of Study: Scientific-extension | Subject: Special
Received: 2022/07/29 | Accepted: 2022/03/19 | Published: 2022/03/19
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Deep learning in chest CT-scan images processing of covid-19 patients. عصر برق 2022; 8 (16) :43-55
URL: http://kiaeee.ir/article-1-372-en.html


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Volume 8, Issue 16 (3-2022) Back to browse issues page
نشریه عصر برق - انجمن مهندسین برق و الکترونیک ایران - شاخه خراسان Khorasan Iranian Association of Electrical and Electronics Engineers (kiaeee)
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