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	A disease diagnostic assistant system using dti and extreme learning machine
	Wang Shuqiang; Shen Yanyan; Hu Jinxing
	2015
会议名称	2015 The 7th International Conference on Future Computer and Communication
会议地点	新加坡南洋理工大学
英文摘要	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.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/6988]
专题	深圳先进技术研究院_数字所
作者单位	2015
推荐引用方式 GB/T 7714	Wang Shuqiang,Shen Yanyan,Hu Jinxing. A disease diagnostic assistant system using dti and extreme learning machine[C]. 见:2015 The 7th International Conference on Future Computer and Communication. 新加坡南洋理工大学.

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