Robust Active Shape Model Based Lung Segmentation in CT Scans

Abstract

We present a fully automated approach for segmentation of lungs in CT datasets. The method was specifically designed to robustly segment lungs with cancer masses and consists of three processing steps. First, a ribcage detection algorithm is utilized to initialize our model-based segmentation method. Second, a robust active shape model matching approach is… (More)

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