Comprehensive and Comparative Review of Covid-19 detection using various deep learning techniques

Lingua: inglese

Editore: GRIN Verlag, GRIN Verlag Dez 2023, 2023

3346985989 / 9783346985989

Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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Venditore AbeBooks dal 23 gennaio 2017

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Descrizione dell’articolo da parte del venditore

This item is printed on demand - Print on Demand Titel. Neuware -Academic Paper from the year 2023 in the subject Computer Science - Miscellaneous, , language: English, abstract: The coronavirus disease 2019 (COVID-19), as designated by the World Health Organization, is causing a pandemic that will affect the entire world. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, which is the source of COVID-19, was first identified in late December 2019 in Wuhan, China. Within a few months, the virus had spread to various countries across the world. Because COVID-19 affects millions of individuals worldwide, it has turned into a global health emergency.The most typical symptoms of COVID-19 virus are fever, a dry cough, and gastrointestinal issues. Being extremely contagious, the illness readily spreads to persons in close touch with those who are infected. Contact tracking is a good way to stop the virus from spreading, according to us. Convolutional neural networks (CNNs) in particular have achieved successful outcomes in the categorization and analysis of medical image data using artificial intelligence (AI) approaches.This survey and research proposes a deep CNN architecture for the diagnosis of COVID-19 based on the classification of chest X-ray and CT-Scan images. This review article explains how to use a database of X-ray and CT-Scan images from patients with common bacterial pneumonia to automatically diagnose coronavirus infection., proven Covid-19 infection, and common cases. The study's objective was to assess the value of COVID-19 acquisition. Globally speaking, the number of infected cases increases dramatically in the COVID-19 scenario. Because of this, medical professionals and infected patients made the crucial option to quickly embrace various medical facilities.Books on Demand GmbH, Überseering 33, 22297 Hamburg 28 pp. Englisch.…

Codice articolo 9783346985989

Titolo
Comprehensive and Comparative Review of Covid-19 detection using various deep learning techniques
Autore
Hardik Modi
Editore
GRIN Verlag, GRIN Verlag Dez 2023
Anno di pubblicazione
2023
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
3346985989
ISBN 13
9783346985989
Peso dell'articolo
56 grammi
Dimensioni
210x148x3 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 23 gennaio 2017

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 60 a 60 giorni lavorativiDa 60 a 60 giorni lavorativi
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