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A probabilistic model for haustral curvatures with applications to colon CAD
John Melonakos1, Paulo Mendonça, Rahul Bhotka
1School of ECE, Georgia Institute of Technology, Atlanta, GA, USA.
Abstract:
Among the many features used for classification in computer-aided detection (CAD) systems targeting colonic polyps, those based on differences between the shapes of polyps and folds are most common. We introduce here an explicit parametric model for the haustra or colon wall. The proposed model captures the overall shape of the haustra and we use it to derive the probability distribution of features relevant to polyp detection. The usefulness of the model is demonstrated through its application to a colon CAD algorithm.
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