An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions

Keyphrases

• Intelligent Systems 100%
• Computer-aided 100%
• Skin Diseases 100%
• Skin Lesions 100%
• Proposal Classification 100%
• Classification Scheme 66%
• Classification Framework 66%
• Malignant Melanoma 66%
• Four-step 33%
• Non-overlapping 33%
• Machine Learning Techniques 33%
• Psoriasis 33%
• 10-fold Cross Validation 33%
• Global Imbalances 33%
• Image Processing 33%
• Novel Classification 33%
• Disease Case 33%
• Feature Classification 33%
• Disease Burden 33%
• Multi-class Classification 33%
• Segmentation Feature Extraction 33%
• Skin Lesion Classification 33%
• Acne 33%
• Early Classification 33%
• Skin Images 33%
• Computer-aided Diagnosis System 33%
• Eczema 33%
• Quadratic Support Vector Machine 33%
• Single Disease 33%
• Dermatologist 33%
• Skin Disease Classification 33%
• Disease Classification 33%
• Overlapping Classes 33%

Computer Science

• Classification Scheme 100%
• Classification Framework 100%
• Preprocessing 50%
• Support Vector Machine 50%
• Machine Learning Technique 50%
• Fold Cross Validation 50%
• Image Processing 50%
• Multi Class Classification 50%
• Multiclass Classification 50%
• Aided Diagnosis 50%
• Disease Patient 50%
• Feature Extraction 50%

Chemical Engineering

• Learning System 100%
• Support Vector Machine 100%