Retinal image quality classification using fine-tuned CNN

Keyphrases

• AlexNet 33%
• Classification Task 33%
• CNN Architecture 33%
• Diabetic Retinopathy Screening 33%
• DR Screening 33%
• Fine-tuned CNN 100%
• Fundus Image Dataset 33%
• GoogLeNet 33%
• Image Classification 33%
• Image Quality Classification 100%
• ImageNet 33%
• Occlusion 33%
• Optimal Accuracy 33%
• Patient Movement 33%
• Poor Quality 66%
• Portable Fundus Camera 33%
• ResNet50 33%
• Retinal Fundus Images 66%
• Retinal Image 33%
• Retinal Image Quality 100%
• Screening System 66%
• Total Loss 33%
• Training Networks 33%
• Training Quality 33%
• Uneven Illumination 33%
• VGG16 33%

Computer Science

• Classification Task 33%
• Convolutional Neural Network 100%
• Image Classification 33%
• Image Quality 100%
• Residual Neural Network 33%
• VGG-16 33%

Engineering

• Classification Task 50%
• Image Classification 50%
• Network Training 50%
• Poor Quality 100%