International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal Since 2013

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Using X-Ray / CT Images with CNN for COVID Detection

Authors: Shivam Darshane, Rutuja Dandwate, Siddhesh Joshi, Rushikesh Galhe, Prof. Vishal Lipte

Country: India View / Download Full Text PDF File


Abstract: COVID-19, which began with the reporting of unknown causes of pneumonia in Wuhan, Hubei province of China around new year 2020, has rapidly become a global pandemic. The Novel Coronavirus (COVID-19) has caused a devastating effect on daily lives, public health and the global economy. It is very critical to detect the positive cases as early as possible, so as to prevent the further spread of this pandemic and to quickly treat affected patients. The need for fast, automatic and reliable detection tool has increased and there are no accurate automated toolkits available. Covid detection using CNN is an auxiliary diagnostic tool which uses Machine Learning and Image Processing Techniques for accurate detection of novel coronavirus through Chest X-Rays and Radiographs of suspects. It can be used by radiologists for initial scanning and detection.

Keywords: COVID-19, Convolutional Neural Networks, COVID Detection, CT Scan, X-Ray


Paper Id: 1072

Published On: 2021-07-02

Published In: Volume 9, Issue 4, July-August 2021

Cite This: Using X-Ray / CT Images with CNN for COVID Detection - Shivam Darshane, Rutuja Dandwate, Siddhesh Joshi, Rushikesh Galhe, Prof. Vishal Lipte - IJIRMPS Volume 9, Issue 4, July-August 2021.

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