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Magnetic resonance image tissue classification using an automatic method
2014
Diagnostic Pathology
Brain segmentation in magnetic resonance images (MRI) is an important stage in clinical studies for different issues such as diagnosis, analysis, 3-D visualizations for treatment and surgical planning. MR Image segmentation remains a challenging problem in spite of different existing artifacts such as noise, bias field, partial volume effects and complexity of the images. Some of the automatic brain segmentation techniques are complex and some of them are not sufficiently accurate for certain
doi:10.1186/s13000-014-0207-7
pmid:25540017
pmcid:PMC4300026
fatcat:62peh3tp7zazvhbziujjfjcz3u