Classification of brain tumor MRIs using a kernel support vector machine

Mathematics

• Magnetic Resonance Image 100%
• Brain Tumor 96%
• Support Vector Machine 76%
• kernel 41%
• Image Classification 32%
• Hybrid Intelligent Systems 20%
• Computer-aided Diagnosis 18%
• Image Database 18%
• Binarization 16%
• Diagnostic Accuracy 15%
• K-means Clustering 15%
• Feature Extraction 15%
• Medical Image 14%
• Discrete Wavelet Transform 14%
• Image Segmentation 13%
• Performance Evaluation 13%
• Dimensionality Reduction 13%
• Preprocessing 11%
• Brain 11%
• Principal Component Analysis 10%
• Background 8%

Engineering & Materials Science

• Magnetic resonance 63%
• Tumors 62%
• Brain 50%
• Support vector machines 48%
• Image classification 21%
• Computer aided diagnosis 12%
• K-means clustering 11%
• Dimensionality reduction 11%
• Discrete wavelet transforms 10%
• Intelligent systems 10%
• Image segmentation 9%
• Principal component analysis 9%
• Feature extraction 7%