TY  - CONF
AU  - Farhan Riaz
AU  - Fernando Vilariño
AU  - Mario Dinis-Ribeiro
AU  - Miguel Coimbraln
A2  - IbPRIA
ED  - J. Vitria, J.M. Sanches
PY  - 2011//
TI  - Identifying Potentially Cancerous Tissues in Chromoendoscopy Images
T2  - LNCS
BT  - 5th Iberian Conference on Pattern Recognition and Image Analysis
SP  - 709
EP  - 716
VL  - 6669
PB  - Springer
CY  - Berlin
KW  - Endoscopy
KW  - Computer Assisted Diagnosis
KW  - Gradient.
N2  - 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.
SN  - 978-3-642-21256-7
L1  - http://refbase.cvc.uab.es/files/RVD2011.pdf
UR  - http://dx.doi.org/10.1007/978-3-642-21257-4_88
N1  - MV;SIAI
ID  - Farhan Riaz2011
ER  -