title: Attraction Propagation: A User-Friendly Interactive Approach for Polyp Segmentation in Colonoscopy Images.
abstract: The article raised a user-friendly interactive approach-Attraction Propagation (AP) in segmentation of colorectal polyps. Compared with other interactive approaches, the AP relied on only one foreground seed to get different shapes of polyps, and it can be compatible with pre-processing stage of Computer-Aided Diagnosis (CAD) under the systematically procedure of Optical Colonoscopy (OC). The experimental design was based on challenging distinct datasets that totally includes 1691 OC images, and the results demonstrated that no matter in accuracy or calculating speed, the AP performed better than the state-of-the-art.
authors.affiliation: School of Mathematics and Statistics, Northeast Normal University, 130024 Changchun, China.|Key Laboratory of Applied Statistics of MOE, Northeast Normal University, 130024 Changchun, China.
authors.forename: Ning
authors.initials: N
authors.lastname: Du
authors.affiliation: School of Mathematics and Statistics, Northeast Normal University, 130024 Changchun, China.|Key Laboratory of Applied Statistics of MOE, Northeast Normal University, 130024 Changchun, China.
authors.forename: Xiaofei
authors.initials: X
authors.lastname: Wang
authors.affiliation: School of Mathematics and Statistics, Northeast Normal University, 130024 Changchun, China.|Key Laboratory of Applied Statistics of MOE, Northeast Normal University, 130024 Changchun, China.
authors.forename: Jianhua
authors.initials: J
authors.lastname: Guo
authors.affiliation: Zhongshan Hospital Fudan University, Fudan University, 200032 Shanghai, China.
authors.forename: Meidong
authors.initials: M
authors.lastname: Xu
mesh_terms: D003111:Colonic Polyps / Q000473:pathology*; D003113:Colonoscopy / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D012984:Software