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Authors: Ehsan Koozegar 1 ; Mohsen Soryani 1 and Ines Domingues 2

Affiliations: 1 Iran University of Science and Technology(IUST), Iran, Islamic Republic of ; 2 University of Porto, Portugal

Keyword(s): Mamograms, Masses, Detection.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Detection and Identification ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: Mammography is the most effective procedure for an early detection of breast abnormalities. Masses are a type of abnormality which are very difficult to be visually detected on mammograms. In this paper an efficient method for detection of masses in mammograms is introduced and tested. The algorithm is inspired by binary search and was evaluated both on mini-MIAS and INBreast databases. Mini-MIAS results show that our algorithm outperforms other competing methods. For INBreast database there are no other published mass detection results for comparison, but we believe that our algorithm has good performance.

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Paper citation in several formats:
Koozegar, E.; Soryani, M. and Domingues, I. (2013). A New Local Adaptive Mass Detection Algorithm in Mammograms. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - BIOSIGNALS; ISBN 978-989-8565-36-5; ISSN 2184-4305, SciTePress, pages 133-137. DOI: 10.5220/0004218201330137

@conference{biosignals13,
author={Ehsan Koozegar. and Mohsen Soryani. and Ines Domingues.},
title={A New Local Adaptive Mass Detection Algorithm in Mammograms},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - BIOSIGNALS},
year={2013},
pages={133-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004218201330137},
isbn={978-989-8565-36-5},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - BIOSIGNALS
TI - A New Local Adaptive Mass Detection Algorithm in Mammograms
SN - 978-989-8565-36-5
IS - 2184-4305
AU - Koozegar, E.
AU - Soryani, M.
AU - Domingues, I.
PY - 2013
SP - 133
EP - 137
DO - 10.5220/0004218201330137
PB - SciTePress

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