a novel COVID-19 Lung Infection Segmentation Deep Network ( Inf - Net ) is proposed
that the proposed Inf - Net outperforms most cutting - edge segmentation models
To address these challenges , a novel COVID-19 Lung Infection Segmentation Deep Network ( Inf - Net ) is proposed to automatically identify infected regions from chest CT scans .
Extensive experiments on our COVID - SemiSeg and and real CT volumes demonstrate that the proposed Inf - Net outperforms most cutting - edge segmentation models and advances the state - of - theart performance .