id: 06058008
dt: j
an: 06058008
au: Bernal, J.; Sánchez, J.; Vilariño, F.
ti: Towards automatic polyp detection with a polyp appearance model.
so: Pattern Recognition 45, No. 9, 3166-3182 (2012).
py: 2012
pu: Elsevier Science Ltd. (Pergamon), Oxford
la: EN
cc: 
ut: colonoscopy; polyp detection; region segmentation; SA-DOVA descriptor
ci: 
li: doi:10.1016/j.patcog.2012.03.002
ab: Summary: This work aims at 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.
rv: