Improvement of MRI brain classification using principal component analysis

The field of medical imaging gains its importance with increase in the need of automated and efficient diagnosis in a short period of time. One of the primary diagnostic and treatment evaluation tools for brain interpretation has been magnetic resonance imaging (MRI). It has been a widely-used metho...

Full description

Bibliographic Details

Published in:	2011 IEEE International Conference on Control System, Computing and Engineering pp. 557 - 561
Main Authors:	Abdullah, N., Lee Wee Chuen, Ngah, U. K., Ahmad, K. A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2011
Subjects:	Brain Feature extraction feature vector Magnetic resonance imaging Magnetic Resonance Imaging (MRI) Medical Imaging Principal component analysis Principal Component Analysis (PCA) Support Vector Machine (SVM) Support vector machine classification Wavelet transforms
ISBN:	9781457716409, 1457716402
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!