Detection of Lungs Infection Using Convolutional Neural Network

Authors

  • Omkar Gaikwad  Student, Department Computer Engineering, Dr. D. Y. Patil School of Engineering, Savitribai Phule Pune University, Lohegaon, Pune, Maharashtra, India
  • Divyanshu Tripathi  Student, Department Computer Engineering, Dr. D. Y. Patil School of Engineering, Savitribai Phule Pune University, Lohegaon, Pune, Maharashtra, India
  • Madhuri Dange  Student, Department Computer Engineering, Dr. D. Y. Patil School of Engineering, Savitribai Phule Pune University, Lohegaon, Pune, Maharashtra, India
  • Harshada Mohite  Student, Department Computer Engineering, Dr. D. Y. Patil School of Engineering, Savitribai Phule Pune University, Lohegaon, Pune, Maharashtra, India
  • Prof. Pallavi Shimpi  Professor, Department Computer Engineering, Dr. D. Y. Patil School of Engineering, Savitribai Phule Pune University, Lohegaon, Pune, Maharashtra, India

Keywords:

Covid-19, Deep Learning,Convolution Neural Network, Image Processing, X-Ray

Abstract

Many countries are challenged by the medical resources required for COVID-19 detection which necessitates the development of a low-cost, rapid tool to detect and diagnose the virus effectively for a large numbers of tests. Although a chest X-Ray scan is a useful candidate tool the images generated by the scans must be analyzed accurately and quickly if large numbers of tests are to be processed. COVID-19 causes bilateral pulmonary parenchymal ground-glass and consolidative pulmonary opacities, sometimes with a rounded morphology and a peripheral lung distribution. In this work, we aim to extract rapidly from chest X-Ray images the similar small regions that may contain the identifying features of COVID-19. This paper therefore proposes a COVID-19 detection model based on Convolution Neural Network for X-Ray image segmentation.The model begins by taking input image, it extract features of the image using CNN which further shows the prediction whether it is covid positive or covid negative. Finally, the model begins a classification and prediction process with a fully connected network formed of several classifiers. model explains an integrated bio-informatics approach in which different aspects of information taken from different data sources are put together to form the user friendly platforms for physicians and researchers. The main precedence of the Artificial Intelligence based platforms is to increase the process of diagnosis and the treatment of the COVID-19 disease.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

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How to Cite

[1]
Omkar Gaikwad, Divyanshu Tripathi, Madhuri Dange, Harshada Mohite, Prof. Pallavi Shimpi, " Detection of Lungs Infection Using Convolutional Neural Network" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 3, pp.154-160, May-June-2021.