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Framework for COVID-19 Segmentation and Classification Based on Deep Learning of Computed Tomography Lung Images

Wessam M.Salama Moustafa H.Aly

电子科技学刊2022,Vol.20Issue(3):246-256,11.
电子科技学刊2022,Vol.20Issue(3):246-256,11.DOI:10.1016/j.jnlest.2022.100161

Framework for COVID-19 Segmentation and Classification Based on Deep Learning of Computed Tomography Lung Images

Framework for COVID-19 Segmentation and Classification Based on Deep Learning of Computed Tomography Lung Images

Wessam M.Salama 1Moustafa H.Aly2

作者信息

  • 1. Department of Basic Science, Faculty of Engineering, Pharos University, Alexandria 12455
  • 2. Department of Electronics and Communications Engineering, College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport, Alexandria 1029
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摘要

关键词

Augmentation/classification/computed tomography (CT)/Corona Virus Disease 2019 (COVID-19)/deep learning/ResNet50/segmentation/U-Net/VGG16

Key words

Augmentation/classification/computed tomography (CT)/Corona Virus Disease 2019 (COVID-19)/deep learning/ResNet50/segmentation/U-Net/VGG16

引用本文复制引用

Wessam M.Salama,Moustafa H.Aly..Framework for COVID-19 Segmentation and Classification Based on Deep Learning of Computed Tomography Lung Images[J].电子科技学刊,2022,20(3):246-256,11.

电子科技学刊

OACSCD

1674-862X

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