A Method for Bleeding Detection in Endoscopy Images Using SVM
10.3969/j.issn.1671-7104.2015.01.003
- VernacularTitle:一种基于SVM的胶囊内窥镜出血智能识别方法
- Author:
Wenming XU
1
;
Guozheng YAN
;
Zhiwu WANG
;
Gang LIU
;
Shuai KUANG
;
Shaopeng ZHAO
Author Information
1. 上海交通大学仪器科学与工程系
- Keywords:
feature selection;
SVM;
bleeding detection;
wireless capsule endoscopy;
color space
- From:
Chinese Journal of Medical Instrumentation
2015;(1):9-12
- CountryChina
- Language:Chinese
-
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.
