TY  - CONF
AU  - Jorge Bernal
AU  - F. Javier Sanchez
AU  - Fernando Vilariño
A2  - MIAD
ED  - Djemal, Khalifa
PY  - 2011//
TI  - Current Challenges on Polyp Detection in Colonoscopy Videos: From Region Segmentation to Region Classification. a Pattern Recognition-based Approach.ased Approach
BT  - 2nd International Workshop on Medical Image Analysis and Descriptionfor Diagnosis Systems
SP  - 62
EP  - 71
PB  - SciTePress
KW  - Medical Imaging
KW  - Colonoscopy
KW  - Pattern Recognition
KW  - Segmentation
KW  - Polyp Detection
KW  - Region Description
KW  - Machine Learning
KW  - Real-time.
N2  - In this paper we present our approach on real-time polyp detection in colonoscopy videos. Our method consists of three stages: Image Segmentation, Region Description and Image Classification. Taking into account the constraints of our project, we introduce our segmentation system that is based on the model of appearance of the polyp that we have defined after observing real videos from colonoscopy processes. The output of this stage will ideally be a low number of regions of which one of them should cover the whole polyp region (if there is one in the image). This regions will be described in terms of features and, as a result of a machine learning schema, classified based on the values that they have for the several features that we will use on their description. Although we are still on the early stages of the project, we present some preliminary segmentation results that indicates that we are going in a good direction.
UR  - http://www.bibsonomy.org/bibtex/2df72bb830f98ddbbde2c738f971a3742/dblp
L1  - http://refbase.cvc.uab.es/files/BSV2011.pdf
N1  - MV;SIAI
ID  - Jorge Bernal2011
ER  -