a novel COVID-19 Lung Infection Segmentation Deep Network ( Inf - Net ) is proposed
Moreover , <*> we present a semi - supervised segmentation framework
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 .
Moreover , to alleviate the shortage of labeled data , we present a semi - supervised segmentation framework based on a randomly selected propagation strategy , which only requires a few labeled images and leverages primarily unlabeled data .