Title :
Topographic Segmentation and Transit Time Estimation for Endoscopic Capsule Exams
Author :
Coimbra, M. ; Campos, P. ; Cunha, J. P Silva
Author_Institution :
Dept. of Electron. & Telecommun., Aveiro Univ.
Abstract :
The endoscopic capsule is a recent medical technology with important clinical benefits but suffering from a practical handicap: long exam annotation times. This paper shows how support vector machines 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 transit times. According to medical specialists, this can reduce exam annotation times by up to 12%
Keywords :
endoscopes; image segmentation; medical image processing; support vector machines; endoscopic capsule exams; gastric; gastrointestinal tract; handicap; intestinal transit times; support vector machines; topographic segmentation; transit time estimation; Biomedical imaging; Endoscopes; Gastrointestinal tract; Humans; Image segmentation; Intestines; Kernel; Support vector machine classification; Support vector machines; Valves;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660555
