Autores
González Patiño David
Villuendas Rey Yenny
Argüelles Cruz Amadeo José
Título The Potential Use of Bioinspired Algorithms Applied in the Segmentation of Mammograms
Tipo Congreso
Sub-tipo Memoria
Descripción 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2018
Resumen 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.
Observaciones DOI 10.5220/0006951103030306
Lugar Sevilla
País España
No. de páginas 303-306
Vol. / Cap. 1
Inicio 2018-09-18
Fin 2018-09-20
ISBN/ISSN 9789897583308