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Medical Images Classification Using Convolutional Neural Network

Abstract

The World Health Organization has announced the most recent coronavirus-related disease, Covid-19 (Coronavirus Disease-2019), a pandemic. In addition, the worldwide lockdown implementation has made the whole globe to have millions of people dead. Added to the fact of being extremely contagious, this virus has a high mortality rate. In other words, it puts pressure on the healthcare system because of infecting many individuals. Therefore, identifying Covid-19 has become critical. In fact, this study aims to apply X-ray as well as Computed Tomography (CT) augmented datasets in order to realize a deep learning technique based on the Convolutional Neural Network (CNN) to immediately detect and diagnose Covid-19. With an efficient loss function, we have typically developed our deep learning model performance. Furthermore, the proposed system carried out high Covid-19 detection performance with a significant accuracy.

Research topics

  • Brain Tumor Detection and Classification

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DOI: 10.1109/ssd64182.2025.10990011

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