Laplace Beltrami eigen value based classification of normal and Alzheimer MR images using parametric and non-parametric classifiers
作者：
Highlights：
• Reaction diffusion level set is used to segment Corpus Callosum (CC) in MR images.
• Shape changes of CC are analysed using Laplace Beltrami (LB) eigen values.
• Classifiers are used to evaluate the discriminative power of LB eigen values.
• Distinct differentiation is obtained for normal and Alzheimer conditions.
• KNN could provide maximum accuracy of 93.37% in the classification of AD subjects.
摘要
•Reaction diffusion level set is used to segment Corpus Callosum (CC) in MR images.•Shape changes of CC are analysed using Laplace Beltrami (LB) eigen values.•Classifiers are used to evaluate the discriminative power of LB eigen values.•Distinct differentiation is obtained for normal and Alzheimer conditions.•KNN could provide maximum accuracy of 93.37% in the classification of AD subjects.
论文关键词：Alzheimer's disease,Corpus callosum,Laplace Beltrami eigen values,Machine learning techniques
论文评审过程：Received 14 September 2015, Revised 22 April 2016, Available online 23 April 2016, Version of Record 6 May 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.04.029
