@InProceedings{FarhanRiaz2011,
author="Farhan Riaz
and Fernando Vilari{\~n}o
and Mario Dinis-Ribeiro
and Miguel Coimbraln",
editor="J. Vitria, J.M. Sanches",
title="Identifying Potentially Cancerous Tissues in Chromoendoscopy Images",
booktitle="5th Iberian Conference on Pattern Recognition and Image Analysis",
year="2011",
publisher="Springer",
address="Berlin",
volume="6669",
pages="709--716",
optkeywords="Endoscopy",
optkeywords="Computer Assisted Diagnosis",
optkeywords="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.",
optnote="MV;SIAI",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1726), last updated on Fri, 14 Mar 2014 16:02:57 +0100",
isbn="978-3-642-21256-7",
doi="10.1007/978-3-642-21257-4_88",
file=":http://refbase.cvc.uab.es/files/RVD2011.pdf:PDF"
}