Deep Learning Convolutional Neural Network for SARS-CoV-2 Detection Using Chest X-Ray Images
The COVID-19 coronavirus illness is caused by a newly discovered species of coronavirus known as SARS-CoV-2. Since COVID-19 has now expanded across many nations, the World Health Organization (WHO) has designated it a pandemic. Reverse transcription-polymerase chain reaction (RT-PCR) is often used t...
Main Authors: | Ali Mohammed Saleh Ahmed, Inteasar Yaseen Khudhair, Salam Abdulkhaleq Noaman |
---|---|
Format: | Article |
Language: | English |
Published: |
Prague University of Economics and Business
2023-04-01
|
Series: | Acta Informatica Pragensia |
Subjects: | |
Online Access: | https://aip.vse.cz/artkey/aip-202301-0006_deep-learning-convolutional-neural-network-for-sars-cov-2-detection-using-chest-x-ray-images.php |
Similar Items
-
Wastewater-Based SARS-CoV-2 Surveillance in Northern New England
by: Diana M. Toledo, et al.
Published: (2022-04-01) -
An Exploration into the Detection of COVID-19 from Chest X-ray Scans Using the xRGM-NET Convolutional Neural Network
by: Gabriel Ackall, et al.
Published: (2021-12-01) -
SARS-CoV-2: Challenges in Reconverting Diagnostic Laboratories to Combat the Pandemic
by: Hugo Alberto Barrera Saldaña, et al.
Published: (2022-12-01) -
Evaluation of sample pooling method for SARS CoV-2 RNA detection; a laboratory based simulated study
by: P. A. S. L. Wijesuriya, et al.
Published: (2022-06-01) -
Analytical recommendations for SARS-CoV-2 identification by RT-PCR in pediatric patients
by: Israel Parra-Ortega, et al.
Published: (2021-07-01)