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:: Volume 3, Issue 4 (COVID-19 Supplement 2021) ::
J Mar Med 2021, 3(4): 41-48 Back to browse issues page
Automatic and Accurate Diagnosis of COVID-19 by Chest CT scan Images Using Deep Learning Method
Nadereh Tabrizi *, Saman Navkhasi
Department of Physics, Payame Noor University, Tehran, Iran , nadereh.tabriz@gmail.com
Abstract:   (1736 Views)
Background and Aim: The World Health Organization has some recommendations for early diagnosis of COVID-19 for appropriate treatment. In the present study, automatic and accurate diagnosis of COVID-19 by chest CT scan images using the deep learning method was performed.
Methods: The steps performed in this algorithm for segmentation and identification of images of healthy lungs and lungs affected by COVID-19 were a selection of appropriate images, preprocessing of images including noise reduction, extraction of image properties, finally segmentation and image classification using a combination of the deep learning method and water wave optimization algorithm to detect COVID-19 in lung images. All modeling was done based on Matlab software.
Results: By applying the water wave optimization algorithm to the deep learning algorithm, its accuracy improved by some 7% in the diagnosis of COVID-19. Therefore, the proposed algorithm with an average accuracy of 98% has a high ability to be used in the clinic for accurate and rapid diagnosis of COVID-19, which can be of great help to the medical staff.
Conclusion: In the diagnosis phase of COVID-19, artificial intelligence can be used to detect patterns of medical images taken by CT scan.
Keywords: Automatic diagnosis, COVID-19, CT scan
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Type of Study: Original Article | Subject: Marine Medicine
Received: 2021/07/26 | Accepted: 2021/08/23 | Published: 2021/09/1
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Tabrizi N, Navkhasi S. Automatic and Accurate Diagnosis of COVID-19 by Chest CT scan Images Using Deep Learning Method. J Mar Med. 2021; 3 (4) :41-48
URL: http://jmarmed.ir/article-1-303-en.html


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Volume 3, Issue 4 (COVID-19 Supplement 2021) Back to browse issues page
مجله طب دریا Journal of Marine Medicine
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