A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.
Haoran DouDavood KarimiCaitlin K. RollinsCynthia M. OrtinauLana VasungClemente Velasco-AnnisAbdelhakim OuaalamXin YangDong NiAli GholipourPublished in: CoRR (2020)
Keyphrases
- convolutional neural network
- brain scans
- medical images
- brain mri
- fully automatic
- anatomical structures
- subcortical structures
- medical imaging
- magnetic resonance images
- segmentation algorithm
- mri images
- magnetic resonance imaging
- carotid artery
- level set
- gray matter
- brain segmentation
- ultrasound images
- tissue segmentation
- segmentation method
- image segmentation
- cortical thickness
- region growing
- partial volume
- brain tumors
- functional mri
- brain tumor segmentation
- brain mapping
- mri scans
- brain mr images
- brain structures
- image analysis
- medical image analysis
- face detection
- mri data
- white matter
- mr images
- neural network
- salient regions
- brain anatomy
- accurate segmentation
- probabilistic atlas
- brain atlas
- pairwise
- visual attention
- human brain
- magnetic resonance
- automatic segmentation
- mr imaging
- texture segmentation
- manual segmentation
- intensity distribution