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)