%0 Journal Article
%T Towards Automatic Polyp Detection with a Polyp Appearance Model
%A Jorge Bernal
%A F. Javier Sanchez
%A Fernando Vilariño
%J Pattern Recognition
%D 2012
%V 45
%N 9
%I Elsevier
%@ 0031-3203
%F Jorge Bernal2012
%O MV;SIAI
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1997), last updated on Fri, 14 Mar 2014 15:55:39 +0100
%X 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.
%K Colonoscopy
%K PolypDetection
%K RegionSegmentation
%K SA-DOVA descriptot
%U http://dx.doi.org/10.1016/j.patcog.2012.03.002
%U http://refbase.cvc.uab.es/files/BSV2012a.pdf
%P 3166-3182