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Author
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño
Title
A Region Segmentation Method for Colonoscopy Images Using a Model of Polyp Appearance
Type
Conference Article
Year
2011
Publication
5th Iberian Conference on Pattern Recognition and Image Analysis
Abbreviated Journal
Volume
6669
Issue
Pages
134-143
Keywords
Colonoscopy, Polyp Detection, Region Merging, Region Segmentation.
Abstract
This work aims at the segmentation of colonoscopy images into a minimum number of informative regions. Our method performs in a way such, if a polyp is present in the image, it will be exclusively and totally contained in a single region. This result can be used in later stages to classify regions as polyp-containing candidates. The output of the algorithm also defines which regions can be considered as non-informative. The algorithm starts with a high number of initial regions and merges them taking into account the model of polyp appearance obtained from available data. The results show that our segmentations of polyp regions are more accurate than state-of-the-art methods.
Address
Las Palmas de Gran Canaria, June 2011
Corporate Author
SpringerLink
Thesis
Publisher
Place of Publication
Editor
Vitrià, Jordi and Sanches, João and Hernández, Mario
Language
Summary Language
Original Title
Series Editor
Series Title
Lecture Notes in Computer Science
Abbreviated Series Title
LNCS
Series Volume
Series Issue
Edition
ISSN
ISBN
978-3-642-21256-7
Medium
Area
800
Expedition
Conference
IbPRIA
Notes
MV;SIAI
Approved
no
Call Number
IAM @ iam @ BSV2011c
Serial
1696
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