title: Symmetric curvature patterns for colonic polyp detection.
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.
authors.affiliation: Siemens Medical Solutions, CAD group, Malvern, PA 19380, USA. Anna.Jerebko@siemens.com
authors.forename: Anna
authors.initials: A
authors.lastname: Jerebko
authors.forename: Sarang
authors.initials: S
authors.lastname: Lakare
authors.forename: Pascal
authors.initials: P
authors.lastname: Cathier
authors.forename: Senthil
authors.initials: S
authors.lastname: Periaswamy
authors.forename: Luca
authors.initials: L
authors.lastname: Bogoni
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003111:Colonic Polyps / Q000000981:diagnostic imaging*; D023881:Colonography, Computed Tomographic / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity