Cargando…
Diagnosis of Multiple Sclerosis Disease in Brain Magnetic Resonance Imaging Based on the Harris Hawks Optimization Algorithm
The damaged areas of brain tissues can be extracted by using segmentation methods, most of which are based on the integration of machine learning and data mining techniques. An important segmentation method is to utilize clustering techniques, especially the fuzzy C-means (FCM) clustering technique,...
Autores principales: | Iswisi, Amal F. A., Karan, Oğuz, Rahebi, Javad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8723867/ https://www.ncbi.nlm.nih.gov/pubmed/34988224 http://dx.doi.org/10.1155/2021/3248834 |
Ejemplares similares
-
Patient privacy in smart cities by blockchain technology and feature selection with Harris Hawks Optimization (HHO) algorithm and machine learning
por: Al-Safi, Haedar, et al.
Publicado: (2022) -
An Approach for Cardiac Coronary Detection of Heart Signal Based on Harris Hawks Optimization and Multichannel Deep Convolutional Learning
por: Alsafi, Haedar, et al.
Publicado: (2022) -
UAV Path Planning Algorithm Based on Improved Harris Hawks Optimization
por: Zhang, Ran, et al.
Publicado: (2022) -
Hierarchical Harris hawks optimizer for feature selection
por: Peng, Lemin, et al.
Publicado: (2023) -
Modified Harris Hawks Optimization Algorithm with Exploration Factor and Random Walk Strategy
por: Song, Meijia, et al.
Publicado: (2022)