Segmentationof pathological lungs from CT chest images


A novel framework for precise segmentation of pathological lung tissues from computed tomography (CT) is presented. The proposed segmentation method is based on a novel 3D joint Markov-Gibbs random field (MGRF) model that integrates three features: (i) the first-order visual appearance model of the CT image, (ii) the second-order spatial interaction model… (More)
DOI: 10.1109/ICIP.2015.7351486



Citations per Year

Citation Velocity: 9

Averaging 9 citations per year over the last 2 years.

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