The paper introduces COVID-CT-H-UNet, a novel network for COVID-19 CT segmentation. It addresses challenges faced by existing methods, such as misclassification of normal pixels and hazy borders. By combining an attention mechanism and Bi-category Hybrid Loss, the proposed network enhances segmentation accuracy. Experimental results show significant improvement over previous models in identifying clinical COVID-19 from CT images.
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by Anay Panja,S... at arxiv.org 03-19-2024
https://arxiv.org/pdf/2403.10880.pdfDeeper Inquiries