Automated topographic segmentation and transit time estimation in endoscopic capsule exams

被引：64

作者：

Cunha, J. P. Silva ^{[1
]}

Coimbra, A. ^{[2
]}

Campos, P. ^{[2
]}

Soares, J. M. ^{[3
]}

机构：

[1] Univ Aveiro, Dept Elect Telecommun & Informat, P-3810 Aveiro, Portugal

[2] Univ Aveiro, IEETA, P-3810 Aveiro, Portugal

[3] Santo Antonio Gen Hosp, P-4099 Oporto, Portugal

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 2008年 / 27卷 / 01期

关键词：

capsule endoscopy; MPEG-7; support vector machines (SVMs); video annotation;

D O I：

10.1109/TMI.2007.901430

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Endoscopic capsule is a recent medical technology with important clinical benefits but suffering from a practical handicap: long exam annotation times. This paper proposes and compares two approaches (Bayesian and support vector machines) that can be used to segment the gastrointestinal tract into its four major topographic areas, allowing the automatic estimation of the clinically relevant gastric and intestinal sections and corresponding transit times. According to medical specialists, this can reduce exam annotation times by up to 12% (15 min). This automatic tool has been integrated into our CapView annotation software that is currently being used by three medical institutions.

引用

页码：19 / 27

页数：9

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