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...

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Veröffentlicht in:	2011 IEEE International Conference on Control System, Computing and Engineering S. 557 - 561
Hauptverfasser:	Abdullah, N., Lee Wee Chuen, Ngah, U. K., Ahmad, K. A.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2011
Schlagworte:	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-Zugang:	Volltext
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