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@article{151718,
        author = {Anshu Gupta and Aman Ojha and Abhishek Kumar and Astik Jain},
        title = {Deep Learning Application for Covid-19 Diagnosis using Chest X-ray Images},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {1},
        pages = {584-588},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151718},
        abstract = {COVID-19 is increasing day by day from December 2019 in all over the world.  The first COVID-19 Case is in Wuhan, China, on 31 December 2019. The COVID-19 virus was growing rapidly since December 2019 and now it is affecting the human’s lungs rapidly. By using Deep Learning Application for Covid-19 Diagnosis using Chest X-ray Images, with the help of chest X-ray we are able to detect whether the person is infected with COVID-19 Virus. We can predict by using Deep Learning models, CNN (convolutional neural network) trained with X ray images of COVID-19. We are also using the VGG-16 model which gives the accuracy of 88.29% in the prediction of the COVID 19 from given chest X-ray of a patient.},
        keywords = {COVID-19, X-rays, CNN, VGG-16, Deep learning},
        month = {},
        }