中国医疗设备2017，Vol.32Issue(10)：76-79,4.DOI:10.3969/j.issn.1674-1633.2017.10.020
轻度认知障碍及健康对照的分类研究
Classification Studies in Patients with Mild Cognitive Impairment and Normal Control
张星月 1刘卫芳2
作者信息
- 1. 首都医科大学 2015级长学制临床医学,北京 100069
- 2. 首都医科大学 生物医学工程学院,北京 100069
- 折叠
摘要
Abstract
Objective The aim of this study is to research the MR images 3D texture features of corpus callosum from the patients with mild cognitive impairment (MCI), and using the features to identify MCI and normal control (NC). Methods 3D texture analysis was performed on 20 MCI patients and 20 NC. The three-dimensional texture features were extracted from corpus callosum by gray-level co-occurrence matrix and run length matrix. The texture features that existed significant differences between MCI and NC were used as the features in a classification procedure. Back propagation (BP) neural network model were built to classify MCI patients from NC. Results The classification accuracy of the training set and test set was separately 95.83％ and 93.75％. Conclusion The back propagation neural network model with three-dimensional texture features can recognize MCI patients and NC.关键词
轻度认知障碍/阿尔兹海默症/三维纹理分析/胼胝体/分类识别Key words
mild cognitive impairment/Alzheimer's disease/3D texture features/corpus callosum/classification分类
医药卫生引用本文复制引用
张星月,刘卫芳..轻度认知障碍及健康对照的分类研究[J].中国医疗设备,2017,32(10):76-79,4.
