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: IEEE Trans. Medical Imaging (2021)
Keyphrases
- convolutional neural network
- brain scans
- medical images
- brain mri
- fully automatic
- magnetic resonance images
- subcortical structures
- magnetic resonance imaging
- medical imaging
- gray matter
- partial volume
- anatomical structures
- cortical thickness
- segmentation method
- white matter
- mri data
- mri images
- mr images
- level set
- segmentation algorithm
- brain tumors
- intensity distribution
- image segmentation
- brain structures
- accurate segmentation
- brain mapping
- face detection
- brain segmentation
- tissue segmentation
- image analysis
- carotid artery
- mr imaging
- mri scans
- ultrasound images
- brain mr images
- magnetic resonance
- brain anatomy
- salient regions
- functional mri
- brain tissue
- machine learning
- cortical surface
- receptive fields
- visual attention
- high resolution
- computer vision