Segmentation of MRI brain scans using spatial constraints and 3D features.
This paper presents a novel unsupervised algorithm for brain tissue segmentation in magnetic resonance imaging (MRI). The proposed algorithm, named Gardens2, adopts a clustering approach to segment voxels of a given MRI into three classes: cerebrospinal fluid (CSF), gray matter (GM), and white matte...
| Published in: | Medical & Biological Engineering & Computing Vol. 58; no. 12; pp. 3101 - 3113 |
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| Main Authors: | , |
| Format: | Journal Article |
| Published: |
Springer Nature
2020
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| Online Access: | View this record in EBSCOhost |