Title :
Application of Averaged Learning Subspace Method in MRI Classification
Author :
Wang, Chuin-Mu ; Chen, Jau-An ; Chu, Jui-Hsing
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan
Abstract :
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.
Keywords :
biological tissues; biomedical MRI; brain; higher order statistics; image classification; learning (artificial intelligence); medical image processing; perceptrons; ALSM; averaged learning subspace method; binary image; brain tissue; high order statistics; medical diagnosis; multispectral MRI image classification; perceptron neural network; Biomedical imaging; Blood; Computed tomography; Covariance matrix; Hospitals; Laser radar; Magnetic resonance imaging; Statistics; Testing; X-rays; ALSM; Classification; MRI;
Conference_Titel :
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location :
Xian
Print_ISBN :
978-0-7695-3744-3
DOI :
10.1109/IAS.2009.275