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Authors: Ali Cherif Chaabani ; Atef Boujelben ; Adel Mahfoudhi and Mohamed Abid

Affiliation: National School of Engineers, Tunisia

ISBN: 978-989-674-029-0

Keyword(s): Breast Cancer, Mass, Diagnosis, Mammography, CAD, Shape Features, Region Features, Boundary Features, XRDM, IA.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control ; Surface Geometry and Shape

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.

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Paper citation in several formats:
Chaabani A.; Boujelben A.; Mahfoudhi A.; Abid M. and (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

@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},
}

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

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