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About:
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
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covidontheweb.inria.fr
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Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Creator
Abbas, Asmaa
Abdelsamea, Mohammed
Medhat Gaber, Mohamed
source
MedRxiv
abstract
Chest X-ray is the first imaging technique that plays an important role in the diagnosis of COVID-19 disease. Due to the high availability of large-scale annotated image datasets, great success has been achieved using convolutional neural networks (CNNs) for image recognition and classification. However, due to the limited availability of annotated medical images, the classification of medical images remains the biggest challenge in medical diagnosis. Thanks to transfer learning, an effective mechanism that can provide a promising solution by transferring knowledge from generic object recognition tasks to domain-specific tasks. In this paper, we validate and adapt our previously developed CNN, called Decompose, Transfer, and Compose (DeTraC), for the classification of COVID-19 chest X-ray images. DeTraC can deal with any irregularities in the image dataset by investigating its class boundaries using a class decomposition mechanism. The experimental results showed the capability of DeTraC in the detection of COVID-19 cases from a comprehensive image dataset collected from several hospitals around the world. High accuracy of 95.12% (with a sensitivity of 97.91%, a specificity of 91.87%, and a precision of 93.36%) was achieved by DeTraC in the detection of COVID-19 X-ray images from normal, and severe acute respiratory syndrome cases.
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2020-04-01
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bibo:doi
10.1101/2020.03.30.20047456
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medrxiv
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fa62227aa6b1ace7b8a42db8151053e6627fedaa
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https://doi.org/10.1101/2020.03.30.20047456
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Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
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covid:fa62227aa6b1ace7b8a42db8151053e6627fedaa#body_text
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named entity 'CLASSIFICATION'
named entity 'BOUNDARIES'
named entity 'TRANSFER LEARNING'
named entity 'IMAGENET'
named entity 'TO TRANSFER'
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