Combining Multiple Deep Features for Glaucoma Classification

Keyphrases

• Glaucoma Classification 100%
• Convolutional Neural Network 66%
• Cup-to-disc Ratio 66%
• Popular 33%
• Publicly Available 33%
• Area under the Receiver Operating Characteristic Curve 33%
• Multi-feature 33%
• Glaucoma 33%
• Feature Extracting 33%
• Pictorial Cues 33%
• Causes of Blindness 33%
• Glaucoma Detection 33%
• Segmentation-based 33%
• Vision Loss 33%
• Early Detection 33%
• Detection Classification 33%
• Classification Approach 33%
• Single Indicator 33%
• Neural Network-based Image Classification 33%

Computer Science

• Deep Feature 100%
• Convolutional Neural Network 100%
• Image Classification 50%
• Good Performance 50%
• Extracted Feature 50%
• Characteristic Curve 50%
• classification approach 50%
• Early Detection 50%
• Single Indicator 50%

Engineering

• Convolutional Neural Network 100%
• Receiver Operating Characteristic 50%
• Operating-Characteristic Curve 50%
• Good Performance 50%
• Past Decade 50%
• Extracted Feature 50%
• Image Cue 50%
• Early Detection 50%
• Image Classification 50%