Semantic segmentation of artery-venous retinal vessel using simple convolutional neural network

Keyphrases

• Convolutional Neural Network 100%
• Retinal Vessels 100%
• Semantic Segmentation 100%
• Retinal Blood Vessels 50%
• Pre-trained Networks 50%
• Neural Network Model 50%
• Conventional Neural Network 50%
• Max Pooling 25%
• Rectified Linear Unit (ReLU) 25%
• Optimization Algorithm 25%
• Image-based 25%
• Hypertension 25%
• Convolutional Layer 25%
• Retinal Image 25%
• Diabetic Retinopathy 25%
• Learning Rate 25%
• Network Use 25%
• Color Intensity 25%
• Input Layer 25%
• Classification Layer 25%
• Optimal Accuracy 25%
• Pixel Classification 25%
• Stochastic Gradient Descent with Momentum 25%
• Softmax 25%
• Color pixels 25%
• Medical Imaging 25%
• Image Layer 25%
• Adaptive Moments 25%
• Vessel Tree 25%
• Tree Extraction 25%
• Transposed Convolution Layer 25%
• Artherosclerosis 25%
• Root Mean Square Propagation 25%
• Moment Optimization 25%

Engineering

• Network Model 100%
• Convolutional Neural Network 100%
• Max 50%
• Linear Unit 50%
• Input Layer 50%
• Gradient Descent 50%
• Root Mean Square 50%