TY  - CONF
AU  - Jorge Bernal
AU  - F. Javier Sanchez
AU  - Fernando Vilariño
A2  - SpringerLink
A2  - IbPRIA
ED  - Vitrià, Jordi and Sanches
PY  - 2011//
TI  - A Region Segmentation Method for Colonoscopy Images Using a Model of Polyp Appearance
T2  - LNCS
BT  - 5th Iberian Conference on Pattern Recognition and Image Analysis
T3  - Lecture Notes in Computer Science
SP  - 134
EP  - 143   
VL  - 6669
KW  - Colonoscopy
KW  - Polyp Detection
KW  - Region Merging
KW  - Region Segmentation.
N2  - This work aims at the segmentation of colonoscopy images into a minimum number of informative regions. Our method performs in a way such, if a polyp is present in the image, it will be exclusively and totally contained in a single region. This result can be used in later stages to classify regions as polyp-containing candidates. The output of the algorithm also defines which regions can be considered as non-informative. The algorithm starts with a high number of initial regions and merges them taking into account the model of polyp appearance obtained from available data. The results show that our segmentations of polyp regions are more accurate than state-of-the-art methods.
SN  - 978-3-642-21256-7
L1  - http://refbase.cvc.uab.es/files/BSV2011b.pdf
UR  - http://dx.doi.org/10.1007/978-3-642-21257-4_17
N1  - MV;SIAI
ID  - Jorge Bernal2011
ER  -