Plus disease in retinopathy of prematurity: Convolutional neural network performance using a combined neural network and feature extraction approach

Engineering & Materials Science

• Network performance 77%
• Convolutional neural networks 72%
• Feature extraction 61%
• Neural networks 48%
• Classifiers 28%
• Blood vessels 23%
• Logistic regression 22%
• Support vector machines 15%
• Pipelines 15%

Medicine & Life Sciences

• Retinopathy of Prematurity 100%
• Datasets 52%
• Retinal Vessels 46%
• Area Under Curve 32%
• Dilatation 22%
• Retinal Diseases 16%
• Support Vector Machine 16%
• Blindness 13%
• Reading 11%
• Logistic Models 8%
• Therapeutics 2%