Detection of retinal changes from illumination-normalized fundus images using convolutional neural networks

Keyphrases

• Retinal Changes 100%
• Fundus Image 100%
• Convolutional Neural Network 100%
• Automated Detection 33%
• Illumination Variation 33%
• Diabetic Retinopathy 33%
• Color Channel 33%
• Green Channel 33%
• Disease Treatment 16%
• Disease Progression 16%
• Retinal Diseases 16%
• Treatment Effect 16%
• Early Diabetic Retinopathy 16%
• Retinopathy Lesions 16%
• Spatiotemporal 16%
• Image Patch 16%
• Deep Convolutional Neural Network (deep CNN) 16%
• Luminosity 16%
• Illumination Normalization 16%
• Automated Quantification 16%
• Convolutional Neural Network Model 16%
• Normalized Image 16%
• Microaneurysms 16%
• Diabetic Eye 16%
• Local Image Features 16%
• Scene Illumination 16%

Engineering

• Convolutional Neural Network 100%
• Illumination Variation 66%
• Color Channel 66%
• Green Channel 66%
• Progression 33%
• Hemorrhage 33%
• Network Model 33%
• Local Image 33%
• Image Patch 33%

Computer Science

• Convolutional Neural Network 100%
• Illumination Variation 50%
• Deep Convolutional Neural Networks 25%
• Disease Progression 25%
• Neural Network Model 25%
• image feature 25%
• Treatment Effect 25%