Subcortical Brain Segmentation Based on Atlas Registration and Linearized Kernel Sparse Representative Classifier
Automatic subcortical brain segmentation in a magnetic resonance image (MRI) is crucial to disease diagnosis and various clinical applications. In this paper, we proposed an efficient segmentation method based on atlas registration (AR) and linearized kernel sparse representative classifier (SRC) to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8656461/ |