Computer Vision Center, Universitat Autònoma de Barcelona, Spain

Intestinal Content Detection in Capsule Endoscopy using Robust Features


The aim of this project was to develop a method supporting the automatic analysis of capsule endoscopy studies in order to handle the large amount of image data in the daily clinical routine.


Most notable achievement:

  • Implemented a Support Vector Machines (SVM) detector for detecting intestinal content (71 % accuracy)