期刊名称：Journal of Advances in Information Technology
印刷版ISSN：1798-2340
出版年度：2016
卷号：7
期号：2
页码：129-133
DOI：10.12720/jait.7.2.129-133
出版社：Academy Publisher
摘要：There is a growing interest in applying diffusion tensor imaging (DTI) to the evaluation of brain and spinal cord related disease. In the present study, the DTI data and extreme learning machine were employed to identify the levels with cervical spondylotic myelopathy (CSM) in spinal cord. In this work, there are 40 volunteers including 20 healthy people and 20 patients with CSM ranging from 24 to 81 years old. Experiment results show that the extreme learning machine based classifier performs well in detecting the patients with CSM (accuracy 93.6%, sensitivity: 91.2%, specificity 94.7%). The current work reveals the potential of using diffusion tensor imaging in conjunction with extreme learning machine to automate the classification of healthy subjects and subjects with brain and spinal cord related disease.
