title: [A method for bleeding detection in endoscopy images using SVM].
abstract: Because the huge number of images of the digestive tract by Wireless Capsule Endoscopy (WCE) are left to the medical personnels detected by their eyes, huge burden leaves to doctors. This article provides a classification of method based on SVM (Support Vector Machine) for the capsule endoscopy bleeding intelligent recognition. We created a new kind of feature parameter, and the experiment result can reach 83% specificity and 94% sensitivity.
authors.forename: Wenming
authors.initials: W
authors.lastname: Xu
authors.forename: Guozheng
authors.initials: G
authors.lastname: Yan
authors.forename: Zhiwu
authors.initials: Z
authors.lastname: Wang
authors.forename: Gang
authors.initials: G
authors.lastname: Liu
authors.forename: Shuai
authors.initials: S
authors.lastname: Kuang
authors.forename: Shaopeng
authors.initials: S
authors.lastname: Zhao
mesh_terms: D053704:Capsule Endoscopy; D041981:Gastrointestinal Tract / Q000473:pathology; D006470:Hemorrhage / Q000175:diagnosis*; D006801:Humans; D012680:Sensitivity and Specificity; D060388:Support Vector Machine