A novel approach for generating a set of features derived from properties of patterns of curvature is introduced as a part of a computer aided colonic polyp detection system. The resulting sensitivity was 84% with 4.8 false positives per volume on an independent test set of 72 patients (56 polyps). When used in conjunction with other features, it allowed the detection system to reach an overall sensitivity of 94% with a false positive rate of 4.3 per volume. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Jerebko, A., Lakare, S., Cathier, P., Periaswamy, S., & Bogoni, L. (2006). Symmetric curvature patterns for colonic polyp detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4191 LNCS-II, pp. 169–176). Springer Verlag. https://doi.org/10.1007/11866763_21
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