@inproceedings{4e6e9663f27140b4a2f08be7a4e50f09,
title = "Multiresolution colonic polyp detection in CT colonography using spherical wavelets",
abstract = "The description of lesion shapes with curvature-based features is a widespread approach in polyp detection methods. These methods are motivated by the need to compactly and accurately encode the different existing shape forms on the colon wall. However, the colon wall presents a number of small convex shape that resemble polyps which increases drastically the number of false positive (FP) detected. In this paper a method based on multiresolution shape processing using the spherical wavelet transform is proposed. The method aims to reduce the number of FPs detected while preserving true positives. Simulation results illustrating the effectiveness of the method are presented.",
keywords = "Polyps detection, Spherical wavelets",
author = "Seghouane, {Abd Krim} and Ong, {Ju Lynn}",
year = "2009",
doi = "10.1109/SSP.2009.5278624",
language = "English",
isbn = "9781424427109",
series = "IEEE Workshop on Statistical Signal Processing Proceedings",
pages = "125--128",
booktitle = "2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09",
note = "2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09 ; Conference date: 31-08-2009 Through 03-09-2009",
}