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Author
Farhan Riaz; Fernando Vilariño; Mario Dinis-Ribeiro; Miguel Coimbraln
Title
Identifying Potentially Cancerous Tissues in Chromoendoscopy Images
Type
Conference Article
Year
2011
Publication
5th Iberian Conference on Pattern Recognition and Image Analysis
Abbreviated Journal
Volume
6669
Issue
Pages
709-716
Keywords
Endoscopy, Computer Assisted Diagnosis, Gradient.
Abstract
The dynamics of image acquisition conditions for gastroenterology imaging scenarios pose novel challenges for automatic computer assisted decision systems. Such systems should have the ability to mimic the tissue characterization of the physicians. In this paper, our objective is to compare some feature extraction methods to classify a Chromoendoscopy image into two different classes: Normal and Potentially cancerous. Results show that LoG filters generally give best classification accuracy among the other feature extraction methods considered.
Address
Las Palmas de Gran Canaria. Spain
Corporate Author
Thesis
Publisher
Springer
Place of Publication
Berlin
Editor
J. Vitria, J.M. Sanches, and M. Hernandez
Language
Summary Language
Original Title
Series Editor
Series Title
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
Admin @ si @ RVD2011; IAM @ iam @ RVD2011
Serial
1726
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