Citation
Balafar, Mohammad Ali and Ramli, Abdul Rahman and Saripan, M. Iqbal and Mashohor, Syamsiah
(2010)
Review of brain MRI image segmentation methods.
Artificial Intelligence Review, 33 (3).
pp. 261-274.
ISSN 0269-2821; ESSN: 1573-7462
Abstract
Brain image segmentation is one of the most important parts of clinical diagnostic tools. Brain images mostly contain noise, inhomogeneity and sometimes deviation. Therefore, accurate segmentation of brain images is a very difficult task. However, the process of accurate segmentation of these images is very important and crucial for a correct diagnosis by clinical tools. We presented a review of the methods used in brain segmentation. The review covers imaging modalities, magnetic resonance imaging and methods for noise reduction, inhomogeneity correction and segmentation. We conclude with a discussion on the trend of future research in brain segmentation.
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Official URL or Download Paper: https://link.springer.com/article/10.1007%2Fs10462...
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Engineering |
| DOI Number: | https://doi.org/10.1007/s10462-010-9155-0 |
| Publisher: | Springer |
| Keywords: | Brain; MRI; Segmentation |
| Depositing User: | Anas Yahaya |
| Date Deposited: | 30 Mar 2011 07:36 |
| Last Modified: | 10 Apr 2019 06:34 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s10462-010-9155-0 |
| URI: | http://psasir.upm.edu.my/id/eprint/11346 |
| Statistic Details: | View Download Statistic |
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