| Literature DB >> 17354769 |
Anna Jerebko1, Sarang Lakare, Pascal Cathier, Senthil Periaswamy, Luca Bogoni.
Abstract
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.Entities:
Mesh:
Year: 2006 PMID: 17354769 DOI: 10.1007/11866763_21
Source DB: PubMed Journal: Med Image Comput Comput Assist Interv