Preliminary detection of covid-19 using deep learning and machine learning techniques on radiological data

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Abstract

Covid-19 is a dangerous pandemic in the year 2020." Covid-19 positive" is the most negative word heard this year, which caused terror worldwide. As it is a contagious pandemic, early detection of this pandemic will minimize its threat. The primary issue is its detection. To detect Covid-19 through a blood test, a person must wait for an extended period to get the results. Using our model, one can primarily detect Covid-19 immediately using Deep Learning algorithm CNN and Machine Learning algorithm Logistic Regression. Input to these techniques is radiological data like CT-Scan and X-ray images. Covid-19 positive cases will be easily detected faster with the help of this model.

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APA

Neha, K., Joshi, K. P., Jyothi, N. A., & Kumar, J. V. (2021). Preliminary detection of covid-19 using deep learning and machine learning techniques on radiological data. Indian Journal of Computer Science and Engineering, 12(1), 79–88. https://doi.org/10.21817/indjcse/2021/v12i1/211201064

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