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Enhancement of COVID-19 Diagnosis using Machine Learning and Texture Analyses of Lung Imaging
Article proposing CoviSegNet, an enhanced U-Net model to segment ground-glass opacities and consolidations in CT scans of Covid-19 positive patients. The performance of CoviSegNet was evaluated on three public CT datasets. The experimental results show that the proposed CoviSegNet is highly promising.
Date:
2021-09-13/2021-09-15
Creator:
Oh, JungHwan & Mittal, Bhuvan
System:
The UNT Digital Library