Efficient optic cup localization based on superpixel classification for glaucoma diagnosis in digital fundus images

Keyphrases

• Classification Accuracy 33%
• Classification-based Approach 33%
• Clinical Datasets 33%
• Computational Cost 33%
• Contextual Information 33%
• Descriptive Characteristics 33%
• Digital Fundus Images 100%
• Effective Feature 33%
• Feature Normalization 33%
• Fundus Image 66%
• Glaucoma 33%
• Glaucoma Diagnosis 100%
• Illumination Variation 33%
• Local Context 33%
• Normalization Method 33%
• Optic Cup 100%
• Pixel-based 66%
• Population-based Study 33%
• Prior Context 33%
• Refinement Scheme 33%
• Speedup Ratio 33%
• State-of-the-art Techniques 33%
• Structural Prior 33%
• Sub-pixel Classification 100%
• Superpixel 33%
• Window-based 33%

Engineering

• Classification Accuracy 100%
• Computational Cost 100%
• Context Information 100%
• Effective Feature 100%
• Illumination Variation 100%
• State-of-the-Art Technique 100%

Computer Science

• Classification Accuracy 25%
• Computational Cost 25%
• Context Information 25%
• Feature Normalization 25%
• Illumination Variation 25%
• Superpixel 100%