模糊c均值、灰度共生矩阵和支持向量机

D. C. R. Novitasari
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引用次数: 11

摘要

根据《阿尔茨海默病宪章》,每年有200万至300万例阿尔茨海默病引起的痴呆病例。阿尔茨海默病患者会在3到9年内逐渐出现记忆和认知障碍。患者在理解问题时感到困惑,记忆序列混乱,这可能会干扰日常活动,如果不加以控制,就会导致死亡。该分类系统基于阿尔茨海默病和非阿尔茨海默病的磁共振成像(MRI),使用支持向量机(SVM)进行分类。采用模糊c均值(FCM)对特征数据进行分割,采用灰度共生矩阵(GLCM)对特征进行提取,准确率达到93.33%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine
Based on the Alzheimer's Charter, 2-3 million cases of dementia by Alzheimer's disease occur every year. People with Alzheimer's disease experience memory and cognitive disorders progressively for 3 to 9 years. Patients experience confusion in understanding the question and have a chaotic sequence of memory, which can interfere with daily activities and unchecked well, it cause death. The classification system is based on Alzheimer's and non-Alzheimer's disease Magnetic Resonance Imaging (MRI) using Support Vector Machine (SVM). The feature data segmentation using Fuzzy C-Means (FCM) and feature extraction using Gray Level Co-Occurrence Matrix (GLCM) and give accuracy result of 93.33%.
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