Challenges of deep learning methods for COVID-19 detection using public datasets

Challenges of deep learning methods for COVID-19 detection using public datasets

Since the COVID-19 pandemic, several research studies have proposed Deep Learning (DL)-based automated COVID-19 detection, reporting high cross-validation accuracy when classifying COVID-19 patients from normal or other common Pneumonia. Although the reported outcomes are very high in most cases, th...

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Bibliographic Details
Main Authors: Md. Kamrul Hasan, Md. Ashraful Alam, Lavsen Dahal, Shidhartho Roy, Sifat Redwan Wahid, Md. Toufick E. Elahi, Robert Martí, Bishesh Khanal
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Informatics in Medicine Unlocked
Subjects:
COVID-19 disease
Chest computed tomography and X-ray
Convolutional neural networks
Ensemble classifier
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914822000922

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http://www.sciencedirect.com/science/article/pii/S2352914822000922

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