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Multiple Sclerosis Identification Based on Fractional Fourier Entropy and a Modified Jaya Algorithm
Aim: Currently, identifying multiple sclerosis (MS) by human experts may come across the problem of “normal-appearing white matter”, which causes a low sensitivity. Methods: In this study, we presented a computer vision based approached to identify MS in an automatic way. This proposed method first...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512770/ https://www.ncbi.nlm.nih.gov/pubmed/33265345 http://dx.doi.org/10.3390/e20040254 |