Automated breast cancer detection in mammography using ensemble classifier and feature weighting algorithms

Engineering

• Radiologist 100%
• Avoid Interference 50%
• Computer Aided Diagnosis 50%
• Machine Learning Technique 50%
• Eigenvalue 50%
• Nearest Neighbor 50%
• Region of Interest 50%
• Search Area 50%
• False Negative 50%
• Early Detection 50%

Computer Science

• ensemble classifier 100%
• False Negative 33%
• False Positive 33%
• Incidence Rate 33%
• Majority Voting 33%
• Aided Diagnosis 33%
• Early Detection 33%
• Diagnostic Accuracy 33%
• Classifier Model 33%
• Mortality Rate 33%