文章基本信息

标题：Preliminary Detection of COVID-19 Using Deep Learning and Machine Learning Techniques on Radiological Data
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作者：Koti Neha ; Kundoju Param Joshi ; Nitturu Asha Jyothi 等
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2021
卷号：12
期号：1
页码：79-88
DOI：10.21817/indjcse/2021/v12i1/211201064
出版社：Engg Journals Publications
摘要：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. Covid19 positive cases will be easily detected faster with the help of this model.
关键词：Covid-19; Viral infection; Deep Learning; Conventional Neural Networks(CNN); Machine Learning; Logistic Regression; CT-Scan Images; X-ray Images.