Topographic Segmentation and Transit Time Estimation for Endoscopic Capsule Exams

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%

[1]  W. Qureshi.  Current and future applications of the capsule camera , 2004, Nature Reviews Drug Discovery.

[2]  Miguel Tavares Coimbra,et al.  MPEG-7 Visual Descriptors—Contributions for Automated Feature Extraction in Capsule Endoscopy , 2006, IEEE Transactions on Circuits and Systems for Video Technology.

[3]  C. Swain,et al.  The Wireless Capsule: New Light in the Darkness , 2002, Digestive Diseases.

[4]  Miguel Tavares Coimbra,et al.  Extracting clinical information from endoscopic capsule exams using MPEG-7 visual descriptors , 2005 .

[5]  B. S. Manjunath,et al.  Color and texture descriptors , 2001, IEEE Trans. Circuits Syst. Video Technol..

[6]  P. Swain,et al.  Wireless capsule endoscopy. , 2002, The Israel Medical Association journal : IMAJ.