CNN-Based Covid-19 Severity Detection and it’s Diagnosis

Abstract:

Coronavirus (COVID-19) has grown to be one of the most dangerous and acute illnesses in recent years, and it has now spread across the globe. In order to prevent COVID-19, early detection of the Coronavirus is necessary. Using a convolutional neural network (CNN) and long short-term memory (LSTM), we have suggested a model for automatically diagnosing COVID-19 from X-ray images. In this model, CNN is used to extract deep features, while LSTM is utilized to identify those features. The proposed method can aid in the diagnosis and treatment of patients with COVID-19. As a final step, this technology will be able to accurately detect the severity of the disease in the lungs and provide it with an automated diagnostic. This model will be hosted on the website so that hospital visits may be minimized and diagnosis can be delivered at home, if necessary, thereby giving a solution for COVID-19 containment.

• Periodical: Advances in Science and Technology (Volume 124)
• Pages: 496-503
• DOI: https://doi.org/10.4028/p-61u85e
• Online since: February 2023
• Authors: Mohammed Amaan Ahmed Khan, G. Senthil Kumar*, Rohan Rony Varughese
• Keywords: Convolutional Neural Network (CNN), COVID-19, LSTM, X-Ray

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