A nested parallel multiscale convolution for cerebrovascular segmentation

Keyphrases

• Vascular Segmentation 100%
• Decoder 100%
• Multi-scale Convolution 100%
• Multi-scale Features 100%
• Encoder 75%
• U-Net 50%
• UNet++ 50%
• Magnetic Resonance Angiography 25%
• Segmentation Framework 25%
• Feature Extraction 25%
• State-of-the-art Techniques 25%
• Convolutional Neural Network 25%
• Existing State 25%
• Magnetic Resonance Imaging 25%
• Transmission Route 25%
• Extraction Efficiency 25%
• Cerebrovascular Disease 25%
• Deep-seated 25%
• Inception-ResNet 25%
• Dice Score 25%
• Kernel Size 25%
• Multi-scale Feature Extraction 25%
• Single Kernel 25%

Neuroscience

• Magnetic Resonance Angiography 100%
• Cerebrovascular Disease 100%
• Neural Network 100%
• Magnetic Resonance Imaging 100%

Computer Science

• U-Net 100%
• Feature Extraction 50%
• Experimental Result 25%
• Convolutional Neural Network 25%
• Residual Neural Network 25%
• Extracted Feature 25%
• Inspired Method 25%
• Transmission Path 25%