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Feb 2024 - Volume 15, Issue 1
Deadline: 15 Jan 2024
Publication: 20 Feb 2024
Apr 2024 - Volume 15, Issue 2
Deadline: 15 Mar 2024
Publication: 20 Apr 2024
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ABSTRACT
Title |
: |
Preliminary Detection of COVID-19 Using Deep Learning and Machine Learning Techniques on Radiological Data |
Authors |
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Koti Neha, Kundoju Param Joshi, Nitturu Asha Jyothi, Joshi Vinay Kumar |
Keywords |
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Covid-19; Viral infection; Deep Learning; Conventional Neural Networks(CNN); Machine Learning; Logistic Regression; CT-Scan Images; X-ray Images. |
Issue Date |
: |
Jan-Feb 2021 |
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. |
Page(s) |
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79-88 |
ISSN |
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0976-5166 |
Source |
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Vol. 12, No.1 |
PDF |
: |
Download |
DOI |
: |
10.21817/indjcse/2021/v12i1/211201064 |
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