Application of Averaged Learning Subspace Method in MRI Classification

摘要：

The objective of this paper is to establish an “Averaged Learning Subspace Method (ALSM) applicable for classification of multi-spectral MR images. By using the ALSM to process the massive amounts of information in multi-spectral MR images, and classification tissues of brain. The classification result of each tissue has shown by binary image, respectively. The classification results would assist doctor to diagnose more efficiently and more accurately and thus to gain more time for necessary action. In order to further evaluate the performance of ALSM, the high order statistics is adopted assessment and compare with perceptron neural network.

关键词： ALSM MRI Classification

作者: Chuin-Mu Wang Jau-An Chen Jui-Hsing Chu

作者单位: Department of Computer Science and Information Engineering,National Chin-Yi University of Technology Department of Radiology,Chuang-Hua Hospital,Chuang-Hua,Taiwan 51341,R.O.C

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 559-562

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）