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ISSN 2063-5346
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COVID, PNEUMONIA OR NORMAL X-RAY IMAGES CLASSIFICATION BY USING A NEURAL NETWORK

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G Senthilkumar, A Karthikeyan, P Nithish, Prabhusai D, V H Lalith Aditya
» doi: 10.31838/ecb/2023.12.si4.204

Abstract

The current global Covid-19 pandemic is related to an acute respiratory disease caused by a new coronavirus (SARS-CoV-2), which is highly contagious and whose evolution is still little known. Considering the current case definition, based on the diagnosis of pneumonia, more than 100,000 cases of Covid-19 infection have been confirmed worldwide, and the associated mortality rate has fluctuated around 2%. Currently, available laboratory tests might not be widely accessible to a growing infected population, but new screening strategies are necessary. Chest CT as a screening tool has yet to be determined, recent studies have demonstrated a central role of CT in the early detection and management of Covid-19 pulmonary manifestations. It has shown high sensitivity but limited specificity. We present a Neural Network in TensorFlow and Keras based on Covid-19 and Pneumonia classification. The proposed system is based on CNN using images to classify, Covid-19 or Pneumonia in this system using the CNN model. It is predicted that the success of the obtained results will increase. If the CNN method is supported by adding extra feature extraction methods and images to classify successfully by covid-19 or Pneumonia

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