Mammographic images segmentation based on chaotic map clustering algorithm

BACKGROUND: This work investigates the applicability of a novel clustering approach to the segmentation of mammographic digital images. The chaotic map clustering algorithm is used to group together similar subsets of image pixels resulting in a medically meaningful partition of the mammography. MET...

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Detalles Bibliográficos
Autores principales: Iacomi, Marius, Cascio, Donato, Fauci, Francesco, Raso, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3987162/
https://www.ncbi.nlm.nih.gov/pubmed/24666766
http://dx.doi.org/10.1186/1471-2342-14-12

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3987162/
https://www.ncbi.nlm.nih.gov/pubmed/24666766
http://dx.doi.org/10.1186/1471-2342-14-12

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