The potential use of bioinspired algorithms applied in the segmentation of mammograms

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationIC3K 2018 - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
EditorsAna Fred, Joaquim Filipe
PublisherSciTePress
Pages303-306
Number of pages4
ISBN (Electronic)9789897583308
DOIs
StatePublished - 2018
Event10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2018 - Seville, Spain
Duration: 18 Sep 201820 Sep 2018

Publication series

NameIC3K 2018 - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Volume1

Conference

Conference10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2018
Country/TerritorySpain
CitySeville
Period18/09/1820/09/18

Keywords

  • Bioinspired algorithm
  • Mammography
  • Segmentation

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