Early diagnosis of COVID-19-affected patients based on X-ray and computed tomography images using deep learning algorith
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Early diagnosis of COVID-19-affected patients based on X-ray and computed tomography images using deep learning algorithm Debabrata Dansana1 • Raghvendra Kumar1 • Aishik Bhattacharjee1 • D. Jude Hemanth2 • Deepak Gupta3 Ashish Khanna3 • Oscar Castillo4
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Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract The novel coronavirus infection (COVID-19) that was first identified in China in December 2019 has spread across the globe rapidly infecting over ten million people. The World Health Organization (WHO) declared it as a pandemic on March 11, 2020. What makes it even more critical is the lack of vaccines available to control the disease, although many pharmaceutical companies and research institutions all over the world are working toward developing effective solutions to battle this life-threatening disease. X-ray and computed tomography (CT) images scanning is one of the most encouraging exploration zones; it can help in finding and providing early diagnosis to diseases and gives both quick and precise outcomes. In this study, convolution neural networks method is used for binary classification pneumonia-based conversion of VGG-19, Inception_V2 and decision tree model on X-ray and CT scan images dataset, which contains 360 images. It can infer that fine-tuned version VGG-19, Inception_V2 and decision tree model show highly satisfactory performance with a rate of increase in training and validation accuracy (91%) other than Inception_V2 (78%) and decision tree (60%) models. Keywords COVID-19 X-ray images CT scan CNN VGG-16 Inception_V2 Decision tree
1 Introduction The first case of the virus became exposed in Wuhan city of China in November 2019, there are 1,100,000 peoples living in this city and it interfaces numerous urban
Communicated by Valentina E. Balas. & Deepak Gupta [email protected]
communities of China. The outbreak of atypical and individual-to-individual transmissible pneumonia brought about by the severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) has caused a worldwide. There have been in excess of 26,000,000 confirmed cases of the corona virus disease (COVID-19) on the globe, as of April 23, 2020. As indicated by the WHO, 16–21% of individuals with the infection have gotten seriously sick with a 1
Department of Computer Science and Engineering, GIET University, Odisha, India
Debabrata Dansana [email protected]
2
Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India
Raghvendra Kumar [email protected]
3
Department of CSE, Maharaja Agrasen Institute of Technology, Delhi, India
Aishik Bhattacharjee [email protected]
4
Tijuana Institute of Technology, Tijuana, Mexico
D. Jude Hemanth [email protected] Ashish Khanna [email protected] Oscar Castillo [email protected]
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D. Dansana et al.
2–3% death rate. The Chinese analysts named the novel infection as the 2019 novel coronavirus (2019-nCov) (Singhal 2020; W
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