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BrainSuite
Enables largely automated processing of magnetic resonance images (MRI) of the human brain. BrainSuite provides a sequence of low-level operations that can produce accurate brain segmentations in clinical time. It produces classified brain volumes that can be useful for quantitative studies of different regions of the brain. The tool consists of several modules that performs skull and scalp removal, nonuniformity correction, tissue classification, and object topology correction.
NeuroMTL iSEG
Consists of a tissue classification method for magnetic resonance imaging (MRI) scans of 6-month old infants. NeuroMTL iSEG is a program that includes two techniques: (1) an extended training dataset that works by applying a standard tissue classification technique to scans of 24-month old infants from separate longitudinal dataset (ACE-IBIS); and (2) a deep learning method to train a 3D U-Net network to perform tissue segmentation on scans of 6-month old infants, first on ACE-IBIS scans, and then on iSEG scans.
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