Enhancement of COVID-19 Diagnosis using Machine Learning and Texture Analyses of Lung Imaging (open access)

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