Automated MRI Brain Tumor Segmentation Based on Feature Extraction
Qingmin Liao · Jisuanji gongcheng · 2008
Automated MRI brain tumor segmentation provides a powerful tool for diagnosis.In this paper,a tumor segmentation method using multi-feature extraction and AdaBoost feature selection is presented.The method utilizes the information of MR images and the anatomical knowledge,and takes the advantage of the feature selection ability of AdaBoost.Experimental results on 20 slices MR images demonstrate the effectiveness of the feature selection,and achieve an accuracy of 96.82% on tumor segmentation.