Automatic accurate infant cerebellar tissue segmentation with densely connected convolutional network

Keyphrases

• Accurate Segmentation 100%
• Tissue Segmentation 100%
• Densely Connected Convolutional Networks 100%
• Functional Development 50%
• State-of-the-art Techniques 50%
• Cerebellum 50%
• Information Flow 50%
• Brain Structure 50%
• Superior Performance 50%
• Automatic Segmentation 50%
• Tissue Contrast 50%
• Maximum Information 50%
• Partial Volume Effect 50%
• Project Data 50%
• Folded Structure 50%
• Cognitive-motor 50%
• Infant Brain Images 50%
• Cerebellar Development 50%
• Human Cerebellum 50%
• Robust Feature Representation 50%
• Deep Learning Architectures 50%
• Function Regulation 50%
• Cerebral Development 50%
• Baby Connectome 50%
• 12-month-old Infants 50%
• Cerebellum Segmentation 50%
• Contextual Features 50%
• Motor Control Function 50%
• Quantitative Development 50%

Computer Science

• Convolutional Network 100%
• Superior Performance 50%
• Partial Volume 50%
• Brain Structure 50%
• Neural Network Architecture 50%
• Deep Neural Network 50%

Neuroscience

• Cerebellum 100%
• Neural Network 33%
• Cognitive Function 33%
• Motor Control 33%