Optimization of Unsupervised Extenics Approach for Brain MRI Tissue Classification
碩士 === 國立勤益科技大學 === 電子工程系 === 101 === Magnetic resonance imaging in recent years in the clinical diagnosis is important imaging technique. That employs pulses radio waves and is intense magnetic fields to vibrate hydrogen atoms in the body is a method of obtaining computer images. After long-term cl...
Main Authors: | Huei-Jyun Wang, 王暉鈞 |
---|---|
Other Authors: | Chuin-Mu Wang |
Format: | Others |
Language: | zh-TW |
Published: |
2013
|
Online Access: | http://ndltd.ncl.edu.tw/handle/55431238395450236636 |
Similar Items
-
Application of Extenics Approach in MRI Classification
by: Ren-Zhi Lan, et al. -
A Hyperspectral Imaging Approach to Unsupervised Magnetic Resonance Brain Tissue Classification
by: Shih-Yu Chen, et al. -
Unsupervised MS Lesion Detection And Classification Method on Brain MRI Images
by: Chih-Kai Chang, et al.
Published: (2013) -
Study of Optimal Strategy on GDP by Extenics Theory
by: Hung-Ling Fang, et al.
Published: (2011) -
Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI
by: N. Sauwen, et al.
Published: (2016-01-01)