Deep residual-network-based quality assessment for SD-OCT retinal images: Preliminary study

Keyphrases

• Quality Assessment 100%
• Network Applications 100%
• Retinal Image 100%
• Optical Coherence Tomography 100%
• Optical Coherence Tomography Images 100%
• Deep Residual Network 100%
• Image Quality Assessment 33%
• Subjective Rating 22%
• Least Squares Support Vector Regression (LSSVR) 22%
• Rating Score 22%
• Clinical Measurement 11%
• Imaging Techniques 11%
• Correlation Coefficient 11%
• Image Quality 11%
• Assessment Issues 11%
• Nonlinear Map 11%
• In Vivo Imaging 11%
• Residual Network 11%
• Human Retina 11%
• Deep Learning Framework 11%
• Image Quality Assessment Algorithm 11%
• Assessment Algorithm 11%
• Clinical Ophthalmology 11%
• ImageNet 11%
• High Efficiency 11%

Computer Science

• Deep Residual Network 100%
• Image Quality Assessment 100%
• Quality Assessment 100%
• Support Vector Regression 50%
• Image Quality 25%
• Deep Learning Method 25%
• Learning Framework 25%
• Quality Evaluation 25%
• Residual Neural Network 25%
• Experimental Result 25%
• Extracted Feature 25%

Engineering

• Quality Assessment 100%
• Image Quality Assessment 100%
• Rating Score 50%
• Support Vector Machine 50%
• Experimental Result 25%
• Linear Map 25%
• Extracted Feature 25%
• Deep Learning Method 25%