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CT lung texton

Mehrdad J Gangeh, Lauge Sørensen, Saher B Shaker, Mohamed S Kamel, Marleen de Bruijne, Marco Loog
In this paper, a texton-based classification system based on raw pixel representation along with a support vector machine with radial basis function kernel is proposed for the classification of emphysema in computed tomography images of the lung. The proposed approach is tested on 168 annotated regions of interest consisting of normal tissue, centrilobular emphysema, and paraseptal emphysema. The results show the superiority of the proposed approach to common techniques in the literature including moments of the histogram of filter responses based on Gaussian derivatives...
2010: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
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