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Information Journal Paper

Title

Automatic and Accurate Diagnosis of COVID-19 by Chest CT scan Images Using Deep Learning Method

Pages

  41-48

Abstract

 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.

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    APA: Copy

    Tabrizi, Nadereh, & Navkhasi, Saman. (2021). Automatic and Accurate Diagnosis of COVID-19 by Chest CT scan Images Using Deep Learning Method. JOURNAL OF MARINE MEDICINE, 3(suppl ), 41-48. SID. https://sid.ir/paper/1097628/en

    Vancouver: Copy

    Tabrizi Nadereh, Navkhasi Saman. Automatic and Accurate Diagnosis of COVID-19 by Chest CT scan Images Using Deep Learning Method. JOURNAL OF MARINE MEDICINE[Internet]. 2021;3(suppl ):41-48. Available from: https://sid.ir/paper/1097628/en

    IEEE: Copy

    Nadereh Tabrizi, and Saman Navkhasi, “Automatic and Accurate Diagnosis of COVID-19 by Chest CT scan Images Using Deep Learning Method,” JOURNAL OF MARINE MEDICINE, vol. 3, no. suppl , pp. 41–48, 2021, [Online]. Available: https://sid.ir/paper/1097628/en

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