Optimized chest X-ray image semantic segmentation networks for COVID-19 early detection

What is it about?

Optimized chest X-ray image semantic segmentation networks for COVID-19 early detection mainly focused on the semantic segmentation of the COVID-19 infected lung lobes in Chest X-Ray Images. For semantically segmenting infected lung lobes in CXR images for COVID-19 early detection, three structurally different deep learning (DL) networks such as SegNet, U-Net and hybrid CNN with SegNet plus U-Net, are proposed and investigated. Further, the optimized CXR image semantic segmentation networks such as GWO SegNet, GWO U-Net, and GWO hybrid CNN are developed with the grey wolf optimization (GWO) algorithm.

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