Automatic brain tissue segmentation in fetal MRI using convolutional neural networks.
Nadieh KhaliliNikolas LeßmannE. TurkNathalie H. P. ClaessensR. de HeusT. KolkMax A. ViergeverManon J. N. L. BendersIvana IsgumPublished in: CoRR (2019)
Keyphrases
- brain tissue
- tissue segmentation
- magnetic resonance images
- mri data
- convolutional neural networks
- brain mr images
- bias field
- fully automatic
- brain tumors
- mr images
- mri images
- low grade gliomas
- partial volume
- automatic segmentation
- brain atlas
- medical images
- brain mri
- gray matter
- magnetic resonance imaging
- brain segmentation
- region growing
- segmentation algorithm
- accurate segmentation
- white matter
- low contrast
- brain images
- grey level
- mri scans
- brain anatomy
- medical imaging
- skull stripping
- caudate nucleus
- image segmentation
- manual segmentation
- anatomical structures
- semi automatic
- intensity distribution
- magnetic resonance
- morphological operations
- brain mapping
- carotid artery
- energy function
- multiple sclerosis
- human brain
- gray scale
- x ray
- high resolution
- multiscale
- ultrasound images