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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2018
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| Materias: | |
| 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 |