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Early COVID-19 discovery is essential for prompt isolation and treatment, as well as stopping the virus transmission. In India, where lung diseases and COVID-19 have a considerable influence on public health, developing an application employing deep learning classifiers to properly differentiate between lung diseases and COVID-19 on CT scans can be a worthwhile undertaking. The main cause of lung disorders in India that have an impact on the lungs and other respiratory organs is COVID. In order to study COVID-19 detection on CT scans utilizing Keras, TensorFlow, and deep learning approaches is the goal of this project. Many freely accessible deep learning codes are available and might be used to detect COVID-19 on the CT dataset. As a result, we attempt to create an application using deep learning classifiers to determine the difference by taking some sample chest X-ray reports very precisely. By comparing the several CNN models for early detection of COVID-19, we finally came to the conclusion that our proposed Inceptionv3 model is the best among several models; also, we used multiple optimizers to check the performance of the model very precisely.

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Performance of Selective CNN Models for Early Detection of COVID-19 from X-Ray Images

  • 会议论文

  • 发表日期：

    2025年

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  • Rahimunnisa Shaik,
  • Pinjala Praveen Kumar,
  • G. Sandhya,
  • Lalam Ramu,
  • Gangadhar Doma,
  • Praveen Kumar Karri

摘要

Early COVID-19 discovery is essential for prompt isolation and treatment, as well as stopping the virus transmission. In India, where lung diseases and COVID-19 have a considerable influence on public health, developing an application employing deep learning classifiers to properly differentiate between lung diseases and COVID-19 on CT scans can be a worthwhile undertaking. The main cause of lung disorders in India that have an impact on the lungs and other respiratory organs is COVID. In order to study COVID-19 detection on CT scans utilizing Keras, TensorFlow, and deep learning approaches is the goal of this project. Many freely accessible deep learning codes are available and might be used to detect COVID-19 on the CT dataset. As a result, we attempt to create an application using deep learning classifiers to determine the difference by taking some sample chest X-ray reports very precisely. By comparing the several CNN models for early detection of COVID-19, we finally came to the conclusion that our proposed Inceptionv3 model is the best among several models; also, we used multiple optimizers to check the performance of the model very precisely.