COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader
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Date
2023
Authors
Abeer Sawalha
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Abstract
Chest X-ray imaging has been proved as a powerful diagnostic method to detect and diagnose
COVID-19 cases due to its easy accessibility, lower cost and rapid imaging time.
Objective
This study aims to improve efficacy of screening COVID-19 infected patients using chest X ray images with the help of a developed deep convolutional neural network model (CNN)
entitled nCoV-NET.