The Potential Use of Bioinspired Algorithms Applied in the Segmentation of Mammograms

David González-Patiño, Yenny Villuendas-Rey, Amadeo J. Argüelles-Cruz

Abstract

In this article, we present the potential use of bioinspired algorithms for segmentation. The comparison is done with 3 bioinspired algorithms and Otsu method, which is an algorithm currently used to perform image segmentation. The vast majority of bioinspired algorithms were designed for optimization, however in this work, an adjustment is done to use the function to be optimized as a function that allows us to segment an image. The results in this work showed that the bioinspired algorithms are a good alternative to perform the task of segmentation in medical images, specifically mammography.

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Paper Citation


in Harvard Style

González-Patiño D., Villuendas-Rey Y. and Argüelles-Cruz A. (2018). The Potential Use of Bioinspired Algorithms Applied in the Segmentation of Mammograms.In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-330-8, pages 303-306. DOI: 10.5220/0006951103030306


in Bibtex Style

@conference{kdir18,
author={David González-Patiño and Yenny Villuendas-Rey and Amadeo J. Argüelles-Cruz},
title={The Potential Use of Bioinspired Algorithms Applied in the Segmentation of Mammograms},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2018},
pages={303-306},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006951103030306},
isbn={978-989-758-330-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - The Potential Use of Bioinspired Algorithms Applied in the Segmentation of Mammograms
SN - 978-989-758-330-8
AU - González-Patiño D.
AU - Villuendas-Rey Y.
AU - Argüelles-Cruz A.
PY - 2018
SP - 303
EP - 306
DO - 10.5220/0006951103030306