Cargando…
An MR Brain Images Classifier System via Particle Swarm Optimization and Kernel Support Vector Machine
Automated abnormal brain detection is extremely of importance for clinical diagnosis. Over last decades numerous methods had been presented. In this paper, we proposed a novel hybrid system to classify a given MR brain image as either normal or abnormal. The proposed method first employed digital wa...
Autores principales: | Zhang, Yudong, Wang, Shuihua, Ji, Genlin, Dong, Zhengchao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791634/ https://www.ncbi.nlm.nih.gov/pubmed/24163610 http://dx.doi.org/10.1155/2013/130134 |
Ejemplares similares
-
Particle Swarm Optimized Hybrid Kernel-Based Multiclass Support Vector Machine for Microarray Cancer Data Analysis
por: Segera, Davies, et al.
Publicado: (2019) -
Bearing Fault Diagnosis Using a Particle Swarm Optimization-Least Squares Wavelet Support Vector Machine Classifier
por: Van, Mien, et al.
Publicado: (2020) -
Support Vector Machine Based on Adaptive Acceleration Particle Swarm Optimization
por: Abdulameer, Mohammed Hasan, et al.
Publicado: (2014) -
Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning
por: Zhang, Yudong, et al.
Publicado: (2015) -
Prediction of Skin Sensitization with a Particle Swarm Optimized Support Vector Machine
por: Yuan, Hua, et al.
Publicado: (2009)