Medical Image Segmentation Using Fruit Fly Optimization and Density Peaks Clustering

In this paper, we propose a novel algorithm for medical image segmentation, which combines the density peaks clustering (DPC) with the fruit fly optimization algorithm, and it has the following advantages. Firstly, it avoids the problem of DPC that needs to artificially select parameters (such as th...

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Detalles Bibliográficos
Autores principales: Zhu, Hong, He, Hanzhi, Xu, Jinhui, Fang, Qianhao, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323531/
https://www.ncbi.nlm.nih.gov/pubmed/30675176
http://dx.doi.org/10.1155/2018/3052852

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323531/
https://www.ncbi.nlm.nih.gov/pubmed/30675176
http://dx.doi.org/10.1155/2018/3052852

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