SHAPE FEATURES FOR MASS DIAGNOSIS IN MAMMOGRAPHIC IMAGES

Ali Cherif Chaabani, Atef Boujelben, Adel Mahfoudhi, Mohamed Abid

2010

Abstract

Mammography is the most efficient method for early mass detection and diagnosis. This paper deals with the problem of shape features extraction in digital mammogram for mass diagnosis. We propose to combine a region and boundary features in order to ameliorate the diagnosis quality. For boundary analysis we propose to ameliorate the RDM method by using an extended approach noted XRDM. We also define a new feature (IA) based on angle calculation. Based on the literature, we exploit a set of region features that are the most used and the simplest for mass description. For experiments, we use the DDSM database and some classifiers as Multilayer Perception (MLP) and K-Nearest Neighbours (KNN). Using KNN classifiers, we obtained 97.1% as sensitivity (percentage of pathological ROIs correctly classified). The results in term of specificity (percentage of non-pathological ROIs correctly classified) grew around 95.63% using MLP classifier.

Paper Citation

in Harvard Style

Chaabani A., Boujelben A., Mahfoudhi A. and Abid M. (2010). SHAPE FEATURES FOR MASS DIAGNOSIS IN MAMMOGRAPHIC IMAGES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 255-262. DOI: 10.5220/0002830902550262

in Bibtex Style

@conference{visapp10,
author={Ali Cherif Chaabani and Atef Boujelben and Adel Mahfoudhi and Mohamed Abid},
title={SHAPE FEATURES FOR MASS DIAGNOSIS IN MAMMOGRAPHIC IMAGES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={255-262},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002830902550262},
isbn={978-989-674-029-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - SHAPE FEATURES FOR MASS DIAGNOSIS IN MAMMOGRAPHIC IMAGES
SN - 978-989-674-029-0
AU - Chaabani A.
AU - Boujelben A.
AU - Mahfoudhi A.
AU - Abid M.
PY - 2010
SP - 255
EP - 262
DO - 10.5220/0002830902550262