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A pre-trained convolutional neural network with optimized capsule networks for chest X-rays COVID-19 diagnosis

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Bibliographic Details
Main Authors: Lobna M., AbouEl-Magd, Ashraf, Darwish, Vaclav Snasel, Snasel
Format: Book
Language:English
Published: Springer 2023
Subjects:
CapsNet
VGG16
Online Access:https://link.springer.com/article/10.1007/s10586-022-03703-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7371
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spelling oai:localhost:PNK-73712023-03-31T03:36:15Z A pre-trained convolutional neural network with optimized capsule networks for chest X-rays COVID-19 diagnosis Lobna M., AbouEl-Magd Ashraf, Darwish Vaclav Snasel, Snasel CapsNet VGG16 CC BY Coronavirus disease (COVID-19) is rapidly spreading worldwide. Recent studies show that radiological images contain accurate data for detecting the coronavirus. This paper proposes a pre-trained convolutional neural network (VGG16) with Capsule Neural Networks (CapsNet) to detect COVID-19 with unbalanced data sets. The CapsNet is proposed due to its ability to define features such as perspective, orientation, and size. Synthetic Minority Over-sampling Technique (SMOTE) was employed to ensure that new samples were generated close to the sample center, avoiding the production of outliers or changes in data distribution. 2023-03-31T03:36:15Z 2023-03-31T03:36:15Z 2023 Book https://link.springer.com/article/10.1007/s10586-022-03703-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7371 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic CapsNet
VGG16
spellingShingle CapsNet
VGG16
Lobna M., AbouEl-Magd
Ashraf, Darwish
Vaclav Snasel, Snasel
A pre-trained convolutional neural network with optimized capsule networks for chest X-rays COVID-19 diagnosis
description CC BY
format Book
author Lobna M., AbouEl-Magd
Ashraf, Darwish
Vaclav Snasel, Snasel
author_facet Lobna M., AbouEl-Magd
Ashraf, Darwish
Vaclav Snasel, Snasel
author_sort Lobna M., AbouEl-Magd
title A pre-trained convolutional neural network with optimized capsule networks for chest X-rays COVID-19 diagnosis
title_short A pre-trained convolutional neural network with optimized capsule networks for chest X-rays COVID-19 diagnosis
title_full A pre-trained convolutional neural network with optimized capsule networks for chest X-rays COVID-19 diagnosis
title_fullStr A pre-trained convolutional neural network with optimized capsule networks for chest X-rays COVID-19 diagnosis
title_full_unstemmed A pre-trained convolutional neural network with optimized capsule networks for chest X-rays COVID-19 diagnosis
title_sort pre-trained convolutional neural network with optimized capsule networks for chest x-rays covid-19 diagnosis
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10586-022-03703-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7371
_version_ 1761912525146816512
score 8.891145

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