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|Author||Debora Gil; F. Javier Sanchez; Gloria Fernandez-Esparrach; Jorge Bernal|
|Title||3D Stable Spatio-temporal Polyp Localization in Colonoscopy Videos||Type||Book Chapter|
|Year||2015||Publication||Computer-Assisted and Robotic Endoscopy. Revised selected papers of Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015||Abbreviated Journal|
|Keywords||Colonoscopy, Polyp Detection, Polyp Localization, Region Extraction, Watersheds|
|Abstract||Computational intelligent systems could reduce polyp miss rate in colonoscopy for colon cancer diagnosis and, thus, increase the efficiency of the procedure. One of the main problems of existing polyp localization methods is a lack of spatio-temporal stability in their response. We propose to explore the response of a given polyp localization across temporal windows in order to select
those image regions presenting the highest stable spatio-temporal response.
Spatio-temporal stability is achieved by extracting 3D watershed regions on the
temporal window. Stability in localization response is statistically determined by analysis of the variance of the output of the localization method inside each 3D region. We have explored the benefits of considering spatio-temporal stability in two different tasks: polyp localization and polyp detection. Experimental results indicate an average improvement of 21:5% in polyp localization and 43:78% in polyp detection.
|Publisher||Place of Publication||Editor|
|Language||Summary Language||Original Title|
|Series Editor||Series Title||Abbreviated Series Title||LNCS|
|Series Volume||Series Issue||Edition|
|Notes||IAM; MV; 600.075||Approved||no|
|Call Number||Admin @ si @ GSF2015||Serial||2733|
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