Paper Info
Title
Identification of intestinal motility events of capsule endoscopy video analysis
Abstract
In this paper we introduce a system for assisting the analysis of capsule-endoscopy (CE) data, and identifying sequences of frames related to small intestine motility. The imbalanced recognition task of intestinal contractions was addressed by employing an efficient two-level video analysis system. At the first level, each video was processed resulting in a number of possible sequences of contractions. In the second level, the recognition of contractions was carried out by means of a SVM classifier. To encode patterns of intestinal motility a panel of textural and morphological features of the intestine lumen were extracted. The system exhibited an overall sensitivity of 73.53% in detecting contractions. The false alarm ratio was of the order of 59.92%. These results serve as a first step for developing assisting tools for computer based CE video analysis, reducing drastically the physician’s time spent in image evaluation and enhancing the diagnostic potential of CE examination.
Year
DOI
Venue
2005
10.1007/11558484_67
ACIVS
Keywords
Field
DocType
svm classifier,imbalanced recognition task,intestinal motility event,intestine lumen,ce video analysis,capsule endoscopy video analysis,intestinal contraction,intestinal motility,diagnostic potential,small intestine motility,ce examination,efficient two-level video analysis,false positive
Computer vision,ENCODE,False positive rate,Pattern recognition,Support vector machine classifier,Computer science,Image processing,Artificial intelligence,Svm classifier,Constant false alarm rate,Capsule endoscopy,Motility
Conference
Volume
ISSN
ISBN
3708
0302-9743
3-540-29032-X
Citations 
PageRank 
References 
12
0.93
7
Authors
4
Name
Order
Citations
PageRank
Panagiota Spyridonos122217.43
Fernando Vilariño226322.08
Jordi Vitrià320714.48
Petia Radeva41684153.53