A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks.
Rafael CeschinAlexandria ZahnerWilliam ReynoldsJenna GaesserGiulio ZuccoliCecilia W. LoVanathi GopalakrishnanAshok PanigrahyPublished in: NeuroImage (2018)
Keyphrases
- computational framework
- brain structures
- convolutional neural networks
- mr images
- magnetic resonance images
- human brain
- mri data
- quantitative analysis
- medical image analysis
- medical imaging
- shape analysis
- mri scans
- active vision
- computational model
- medical images
- tensor voting
- brain atlas
- magnetic resonance imaging
- white matter
- magnetic resonance
- detection algorithm
- brain tissue
- brain mri
- subcortical structures
- anatomical structures
- brain segmentation
- shape variations
- x ray
- image analysis
- tissue segmentation
- manual segmentation
- brain images
- fully automatic
- video recordings
- brain tumors
- information processing
- skull stripping
- high resolution
- feature extraction
- brain anatomy