@inproceedings{b7a6fb778e5f494a863a5bb7d378f221,
title = "Polyp detection in CT colonography based on shape characteristics and Kullback-Leibler divergence",
abstract = "As an alternative procedure to the current methods which consider only the mean values of shape features to globally characterize a candidate shape polyps, probability density functions (PDFs) of some feature variables constructed based on Gaussian and mean curvatures are used to characterize the global shape of a candidate lesion. The decision on whether or not this candidate lesion is a polyp is made by comparing the density functions of the considered shape feature variables to reference PDFs of the same variables obtained from a preconstructed polyp/non polyp data base. The Kullback-Leibler divergence is used as a dissimilarity measure to compare these PDFs and make a decision based on closeness. Experiments carried out on real data are used to illustrate the effectiveness of the proposed method in comparison to existing ones.",
keywords = "Image shape analysis, Probability measures",
author = "Ju, {Lynn Ong} and Seghouane, {Abd Krim} and Kevin Osborn",
year = "2008",
doi = "10.1109/ISBI.2008.4541076",
language = "English",
isbn = "9781424420032",
series = "2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI",
pages = "636--639",
booktitle = "2008 5th IEEE International Symposium on Biomedical Imaging",
note = "2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI ; Conference date: 14-05-2008 Through 17-05-2008",
}