Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes


Simple algorithms for segmenting healthy lung parenchyma in CT are unable to deal with high density tissue common in pulmonary diseases. To overcome this problem, we propose a multi-stage learning-based approach that combines anatomical information to predict an initialization of a statistical shape model of the lungs. The initialization first detects the… (More)
DOI: 10.1007/978-3-642-23626-6_82