A Corneal Nerve Segmentation Algorithm Based on Improved ResU-Net

Keyphrases

• Area under the Curve 25%
• Attention Mechanism 25%
• Attention Module 50%
• Automatic Segmentation 25%
• Channel Attention 25%
• Convolutional Layer 25%
• Corneal Nerves 100%
• Decoder 25%
• Diabetic Neuropathy 25%
• Encoder 25%
• Extraction Efficiency 25%
• Feature Learning 25%
• Image Input 50%
• Information Representation 25%
• Input Module 25%
• Loss Function 25%
• Low Contrast 25%
• Multi-scale Feature Extraction 25%
• Multi-scale Image 50%
• Multi-scale Representation 25%
• Multi-scale Residual 50%
• Nerve Segmentation 100%
• Net Structure 25%
• Network Layer 25%
• Neural Structures 25%
• Non-neural 25%
• Output Module 50%
• Residual Module 75%
• Segmentation Algorithm 100%
• Segmentation Efficiency 25%
• Spatial Attention 25%
• U-Net 100%

Computer Science

• Attention (Machine Learning) 100%
• Automatic Segmentation 33%
• Convolutional Layer 33%
• Experimental Result 33%
• Feature Extraction 33%
• Layer Function 33%
• Multiscale Representation 33%
• Network Layer 33%
• Output Module 66%
• Representation Information 33%
• Representation Learning 33%
• segmentation algorithm 100%
• Target Feature 33%

Engineering

• Convolutional Layer 20%
• Experimental Result 20%
• Feature Extraction 20%
• Layer Network 20%
• Loss Function 20%
• Multiscale 100%
• Multiscale Representation 20%
• Net Structure 20%
• Output Function 20%
• Scale Feature 20%
• Scale Image 40%
• Spatial Attention 20%
• Target Area 20%