Abstract
In this paper we present a novel polyp region segmentation method for colonoscopy videos. Our method uses valley information associated to polyp boundaries in order to provide an initial segmentation. This first segmentation is refined to eliminate boundary discontinuities caused by image artifacts or other elements of the scene. Experimental results over a publicly annotated database show that our method outperforms both general and specific segmentation methods by providing more accurate regions rich in polyp content. We also prove how image preprocessing is needed to improve final polyp region segmentation.
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Acknowledgements
This work was supported by a research grant from Universitat Autónoma de Barcelona 471-01-2/2010 and by Spanish projects \(TIN2009-10435\), \(TIN2009-13618\) and \(TIN2012-33116\).
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Bernal, J., Núñez, J.M., Sánchez, F.J., Vilariño, F. (2014). Polyp Segmentation Method in Colonoscopy Videos by Means of MSA-DOVA Energy Maps Calculation. In: Linguraru, M., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2014. Lecture Notes in Computer Science(), vol 8680. Springer, Cham. https://doi.org/10.1007/978-3-319-13909-8_6
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DOI: https://doi.org/10.1007/978-3-319-13909-8_6
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