Segmenting hippocampus from infant brains by sparse patch matching with deep-learned features

Keyphrases

• Hippocampus 100%
• Infant Brain 100%
• Deep Learning Features 100%
• Patch Matching 100%
• Infant Brain Images 60%
• Brain MR Image 40%
• Accurate Segmentation 20%
• Magnetic Resonance Imaging 20%
• Brain MRI 20%
• High-level Features 20%
• Brain Structure 20%
• Early Brain Development 20%
• Matching Method 20%
• Tissue Contrast 20%
• Low-level Features 20%
• Unsupervised Deep Learning 20%
• Hippocampus Segmentation 20%
• Hierarchical Feature Representation 20%
• Feature Representation 20%
• Adult Hippocampus 20%
• First Year of Life 20%
• Multiple Atlases 20%
• Patch Similarity 20%
• Stacked Autoencoder 20%
• Learning Paradigm 20%
• Latent Feature Representation 20%
• Deep Feature Representation 20%
• Hippocampal Development 20%
• Deep Learning 20%
• Discriminative Feature Representation 20%
• Inter-patch 20%
• Robust Feature Representation 20%
• Different Development Stages 20%

Computer Science

• Learned Feature 100%
• Deep Learning Method 100%
• Experimental Result 50%
• Conventional Method 50%
• Brain Structure 50%
• Multiple Atlas 50%
• Deep Feature 50%
• Development Stage 50%
• Structural Variable 50%