… Patients with CT scans showing large motion artifacts or pre-existing lung cancer conditions
… in this manuscript we develop a deep learning system to quantify COVID19 infection in CT …

… The aim of this study was to develop a deep learning (DL)-based method for automatic
segmentation and quantification of infection regions as well as the entire lungs from chest CT …

… In conclusion, our preliminary experience indicates the feasibility of a rapid, automatic
quantification tool for lung parenchymal abnormalities in COVID-19 patients using deep learning. …

… Quantification with fully manual tracing and … quantification are important for the prognostication
of ILD [10,11]. Thus, we have developed a fully automatic deep-learning (DL)-based lung …

… in real clinical applications because whole lung quantification data obtained using an …
Our methodology has attempted to take whole lung quantification into account (Appendix Fig…

… CT from the National Lung Screening Trial between August 2002 and April 2004, who were
followed until December 2009. A deep learning network was trained to quantify six types of …

… to the deep learning-based segmentation system, which generated infection areas in the
whole lung, lung … After segmentation, various metrics were computed to quantify the COVID-19 …

… CT lung opacification percentages of the whole lung and five lobes were automatically
quantified by a commercial deep learning software and compared with those at follow-up CT …

… We outperform traditional lung densitometry and two recently published methods for
emphysema quantification by a large margin (at least 7% AUC and 15% ICC), and achieve near-…

… deep learning-based lung segmentation algorithm using 3D CNN to accurately segment
the lung … deep learning model to differentiate and classify lung tissues within the segmented …