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2022 | OriginalPaper | Buchkapitel

Comparing the Accuracy and the Efficiency in Detection of Coronavirus in CT Scans and X Ray Images

verfasst von : C. V. Sagar, Sumit Bhardwaj

Erschienen in: Artificial Intelligence and Speech Technology

Verlag: Springer International Publishing

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Abstract

The Coronavirus pandemic, also known as the Covid pandemic, is a global disease (Coronavirus) pandemic caused by SARS Covid 2019 that causes severe respiratory illness (SARS-CoV-2). Side effects differ incredibly in seriousness, going from subtle to perilous. Individuals who are old or have basic clinical issues are more inclined to foster serious infection. Coronavirus is spread by means of the air when beads and small airborne particles dirty it. In this project we would be analyzing the data set images of Chest CT Scans and Chest X Rays for the Detection of Corona Virus using the different kind of deep learning algorithms and checking the efficiency of both of them as to which is more accurate and beneficial for detection of the corona virus pandemics so that this study can be used for future detection of COVID in the patients.

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Vorheriges Kapitel A Pilot Study on FoG Prediction Using Machine Learning for Rehabilitation

Nächstes Kapitel An Analysis of Image Compression Using Neural Network

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Titel: Comparing the Accuracy and the Efficiency in Detection of Coronavirus in CT Scans and X Ray Images
verfasst von: C. V. Sagar
Sumit Bhardwaj
Verlag: Springer International Publishing
Buch: Artificial Intelligence and Speech Technology
Print ISBN: 978-3-030-95710-0

Electronic ISBN: 978-3-030-95711-7

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-030-95711-7_44

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