TY  - JOUR
AU  - Jorge Bernal
AU  - F. Javier Sanchez
AU  - Fernando Vilariño
A2  - IbPRIA
PY  - 2012//
TI  - Towards Automatic Polyp Detection with a Polyp Appearance Model
T2  - PR
JO  - Pattern Recognition
SP  - 3166
EP  - 3182
VL  - 45
IS  - 9
PB  - Elsevier
KW  - Colonoscopy
KW  - PolypDetection
KW  - RegionSegmentation
KW  - SA-DOVA descriptot
N2  - This work aims at the automatic polyp detection by using a model of polyp appearance in the context of the analysis of colonoscopy videos. Our method consists of three stages: region segmentation, region description and region classification. The performance of our region segmentation method guarantees that if a polyp is present in the image, it will be exclusively and totally contained in a single region. The output of the algorithm also defines which regions can be considered as non-informative. We define as our region descriptor the novel Sector Accumulation-Depth of Valleys Accumulation (SA-DOVA), which provides a necessary but not sufficient condition for the polyp presence. Finally, we classify our segmented regions according to the maximal values of the SA-DOVA descriptor. Our preliminary classification results are promising, especially when classifying those parts of the image that do not contain a polyp inside.
SN  - 0031-3203
UR  - http://dx.doi.org/10.1016/j.patcog.2012.03.002
L1  - http://refbase.cvc.uab.es/files/BSV2012a.pdf
N1  - MV;SIAI
ID  - Jorge Bernal2012
ER  -