A pre-trained convolutional neural network with optimized capsule networks for chest X-rays COVID-19 diagnosis
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s10586-022-03703-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7371 |
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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 |