Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation

Keyphrases

• Optic Disc Segmentation 100%
• Deep Network 100%
• Optic Cup 100%
• Optic Cup Segmentation 100%
• Segmentation-based 100%
• Polar Transformation 100%
• Network Change 100%
• M-Net 75%
• Loss Function 50%
• U-shape 50%
• Multi-scale Input 50%
• Output Layer 50%
• Fundus Image 50%
• Cup-to-disc Ratio 50%
• Input Layer 50%
• Convolutional Networks 50%
• Label Loss 50%
• Automatic Segmentation 25%
• Segmentation Performance 25%
• Glaucoma 25%
• Deep Learning Architectures 25%
• Hierarchical Representation 25%
• Glaucoma Diagnosis 25%
• Multiple Levels 25%
• Scale Layer 25%
• Glaucoma Screening 25%
• Ratio Values 25%
• Visual Features 25%
• Chronic Eye Diseases 25%
• Vision Loss 25%
• Network Structure 25%
• Screening Performance 25%
• Original Image 25%
• Image Pyramid 25%
• Multi-label System 25%
• Body Area Networks 25%
• Prediction Map 25%
• Net System 25%
• Polar Coordinate System 25%
• Local Prediction 25%
• Segmentation Map 25%
• Accurate Segmentation 25%
• Receptive Field Size 25%

Engineering

• Joints (Structural Components) 100%
• Multiscale 100%
• Loss Function 100%
• Side Output 100%
• Output Layer 100%
• Input Layer 100%
• Tasks 50%
• Deep Learning 50%
• Scale Layer 50%
• Polar Coordinate System 50%
• Segmentation Map 50%
• Receptive Field Size 50%
• Main Body 50%
• Net System 50%

Computer Science

• Convolutional Network 100%
• Automatic Segmentation 50%
• Segmentation Performance 50%
• Deep Learning 50%
• Receptive Field 50%
• Visual Feature 50%
• Network Structures 50%
• Coordinate System 50%
• Segmentation Map 50%
• Polar Coordinate 50%