Stationary Wavelet Transform and AdaBoost with SVM Based Pathological Brain Detection in MRI Scanning

Volume: 16, Issue: 2, Pages: 137 - 149
Published: Feb 15, 2017
Abstract
This paper presents an automatic classification system for segregating pathological brain from normal brains in magnetic resonance imaging scanning. The proposed system employs contrast limited adaptive histogram equalization scheme to enhance the diseased region in brain MR images. Two-dimensional stationary wavelet transform is harnessed to extract features from the preprocessed images. The feature vector is constructed using the energy and...
Paper Details
Title
Stationary Wavelet Transform and AdaBoost with SVM Based Pathological Brain Detection in MRI Scanning
Published Date
Feb 15, 2017
Volume
16
Issue
2
Pages
137 - 149
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