A New Local Adaptive Mass Detection Algorithm in Mammograms

Ehsan Koozegar, Mohsen Soryani, Ines Domingues

2013

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 133-137. DOI: 10.5220/0004218201330137


in Bibtex Style

@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 - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={133-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004218201330137},
isbn={978-989-8565-36-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - A New Local Adaptive Mass Detection Algorithm in Mammograms
SN - 978-989-8565-36-5
AU - Koozegar E.
AU - Soryani M.
AU - Domingues I.
PY - 2013
SP - 133
EP - 137
DO - 10.5220/0004218201330137