DeepLab V3+ Based Semantic Segmentation of COVID -19 Lesions in Computed Tomography Images

DeepLab V3+ Based Semantic Segmentation of COVID -19 Lesions in Computed Tomography Images

Abstract- Coronavirus 2019 spreads rapidly worldwide causing a global epidemic. Early detection and diagnosis of COVID-19 is critical for treatment as it causes respiratory syndrome appears in the chest medical images, such as computed tomography (CT) images, and X-ray images. The CT images are more...

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Bibliographic Details
Main Authors:	Merihan M. Eissa, Sameh A. Napoleon, Amira S. Ashour
Format:	Article
Language:	Arabic
Published:	Faculty of Engineering, Tanta University 2022-12-01
Series:	Journal of Engineering Research - Egypt
Subjects:	keywords- covid-19 semantic segmentation deeplabv3+ mobilenet-v2 depth-wise separable convolution layer
Online Access:	https://erjeng.journals.ekb.eg/article_270736_3a2140edd898a99cec0e766ec2f0506b.pdf

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