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Identification of Corona Virus From X-ray Images

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dc.contributor.author Arif, Md. Rashid
dc.contributor.author Hasibul Hasan, Md.
dc.contributor.author Tanjil, Faridul Islam
dc.date.accessioned 2020-12-13T11:17:40Z
dc.date.available 2020-12-13T11:17:40Z
dc.date.issued 2020-12-10
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5378
dc.description One of the biggest challenges that face in the 21st century is the Corona Virus (covid-19). It started as a simple infectious disease of Severe acute respiratory syndrome (SARS-CoV-2) in China in the last of 2019 [1]. After some days it transforms into a pandemic with its high contagiousness and it suddenly spreads very quickly all over the world. Till October 2020 around 42.7million people affected and 1.15million people passed away by Covid-19 [2]. The affected cases of COVID-19 worldwide by country are shown in Fig. 1.1.1 [7]. These diseases can affect every age of people and it can spread from animals to the human body [3][4]. Coronavirus is a broad group of viruses that cause by SARS-CoV(Severe Acute Respiratory Syndrome) and MERS-CoV (Middle East Respiratory Syndrome) arising from colds. This new form of disease (COVID-19) that has not been previously observed in the human body was first discovered in 2019 [5]. The most common symptoms for Covid-19 are Fever, Coughing, Shortness of Respiration, Breathing problems, Loss of scent or flavor. And in some cases, we can see Tiredness, Chills with shaking occasionally, Aches of the body, Headaches, Soreness of throat, Runny nose / Congestion, Nausea, Diarrhoea [6]. en_US
dc.description.abstract In late December 2019, China announced the novel COVID-19 coronavirus. And after that, it spread all around the world, taking the place of a pandemic. In the meantime, there are many testing kits available but it takes time to get test results so we need to fast disease detection. for that reason, there is some work done on neural network models. all those images are performed on CXR data that are publicly available. In this study, we also work on five different pre-trained models(resnet-50, Inception V3, Inception Resnet V2, Resnet-101, Resnet-152) for the classification and detection of these diseases and we also have compared their accuracy on different epoch values. After evoluted all the models throughout the accuracy, recall, f1-scores we have got that resnet-50 perform 100% accuracy, Recall 100% and Precision 100% with 30 epoch value and also Resnet-101 perform 100% accuracy on epoch value 40. Those two models have given better results to compare with the other models. en_US
dc.language.iso en en_US
dc.publisher Daffodil International University en_US
dc.subject COVID-19 en_US
dc.subject X-ray Diffraction Imaging en_US
dc.subject Machine Learning en_US
dc.title Identification of Corona Virus From X-ray Images en_US
dc.title.alternative A Machine Learning Approach en_US
dc.type Other en_US

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