A level set based method for lung segmentation in CT images
作者： Shiva Azimi , Hossein Rabbani
DOI: 10.1109/IRANIANCEE.2014.6999854
关键词: Thresholding 、 Artificial intelligence 、 Convex hull 、 Medical imaging 、 Image segmentation 、 Scale-space segmentation 、 Computer vision 、 Level set (data structures) 、 Fuzzy logic 、 Mathematics 、 CAD
摘要: In this paper an automatic computer-aided (CAD) method is utilized for lung segmentation using computed tomography (CT) images. We segmented regions — based on the CT data- with nodules attached to chest wall by level set modeling. This made up of 3 steps: first step, adaptive fuzzy thresholding operation used binarize images; in second non-isolated applying both modeling and convex hull algorithm. third shape features lobe, segmented. The experimental results show accuracy 98% our out performance other exiting methods.
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