Particle swarm optimization based feature selection in mammogram mass classification

Keyphrases

• Region of Interest 100%
• Feature Selection 100%
• Optimization Approach 100%
• Particle Swarm Optimization 100%
• Binary Particle Swarm Optimization 100%
• Mass Classification 100%
• Mammogram Mass 100%
• Texture Features 75%
• Feature Selection Methods 75%
• Classification Accuracy 50%
• Existing Techniques 25%
• Mammography 25%
• Effective Method 25%
• Effective Techniques 25%
• Mini 25%
• Gray-level Co-occurrence 25%
• Mammogram Images 25%
• Breast Cancer Early Detection 25%
• First Finding 25%
• Decision Tree Classifier 25%
• Mammogram 25%

Computer Science

• Feature Selection 100%
• Particle Swarm Optimization 100%
• Texture Feature 60%
• Classification Accuracy 40%
• Experimental Result 20%
• Effective Method 20%
• Early Detection 20%
• Decision Tree Classifier 20%
• Occurrence Matrix 20%