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Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT
2021
NeuroImage
Automatic methods for feature extraction, volumetry, and morphometric analysis in clinical neuroscience typically operate on images obtained with magnetic resonance (MR) imaging equipment. Although CT scans are less expensive to acquire and more widely available than MR scans, their application is currently limited to the visual assessment of brain integrity and the exclusion of co-pathologies. CT has rarely been used for tissue classification because the contrast between grey matter and white
doi:10.1016/j.neuroimage.2021.118606
pmid:34571160
fatcat:7uh3pqtfcjak3b6b4mhb7jyxrm