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	A new approach to detecting ulcer and bleeding in wireless capsule endoscopy images
	Xiaoying Liu; Jia Gu; Yaoqin Xie; Jun Xiong; Wenjian Qin
	2012
会议名称	IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2012. In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering
会议地点	Hong Kong and Shenzhen, China
英文摘要	n recent years, Wireless capsule endoscopy (WCE) has been widely utilized in diagnosis of gastrointestinal (GI) tract disease. This new technology is painless and can see small intestine that traditional endoscopies cannot reach. However, Analysis of massive images for each WCE detection is tedious and time consuming to physicians. In this paper we present a computer-aid approach to help clinicians to discriminate amongst regions of normal or abnormal tissue. We use covariance of second-order statistical features which called as color wavelet covariance (CWC), based on discrete wavelet transform (DWT) and then optimize them by a selected algorithm. Accurate image segmentation and classification is achieved by a joint classifier, which is obtained by Texton Boost classifier. The whole approach has been validated on various WCE data and achieves a good result.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4113]
专题	深圳先进技术研究院_医工所
作者单位	2012
推荐引用方式 GB/T 7714	Xiaoying Liu,Jia Gu,Yaoqin Xie,et al. A new approach to detecting ulcer and bleeding in wireless capsule endoscopy images[C]. 见:IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2012. In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering. Hong Kong and Shenzhen, China.

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