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CTE-Net: Automatic COVID-19 Lung Infection Segmentation Boosted by Low-Level Features and Fine-Grained Textures

2022-11-11

Abstract excerpt

Coronavirus Disease 2019 (COVID-19) has been spreading worldwide and caused millions of deaths around the world. Automated detection of lung infections from computed tomography (CT) images holds great potential for combating COVID-19. The most common finding in the chest CT of the infected individuals were ground-glass opacities and pneumonic consolidations. These infections are characterized by high heterogeneity...

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Literature Corpus work: c263e970-b873-593f-bf85-ce0026ff29eb
DOI: 10.2139/ssrn.4272579

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