Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features

Lignende værker

• Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching
  af: Guo, Yanrong, et al.
  Udgivet: (2015)
• Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data
  af: Guo, Yanrong, et al.
  Udgivet: (2015)
• Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation
  af: Wang, Lin, et al.
  Udgivet: (2016)
• Prediction of Infant MRI Appearance and Anatomical Structure Evolution using Sparse Patch-based Metamorphosis Learning Framework
  af: Rekik, Islem, et al.
  Udgivet: (2016)
• Multi-Atlas and Multi-Modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph
  af: Dong, Pei, et al.
  Udgivet: (2016)