Improvement of CSF, WM and GM Tissue Segmentation by Hybrid Fuzzy – Possibilistic Clustering Model based on Genetic Optimization Case Study on Brain Tissues of Patients with Alzheimer’s Disease
Brain tissue segmentation is one of the most important parts of clinical diagnostic tools. Fuzzy C-mean (FCM) is one of the most popular clustering based segmentation methods. However FCM does not robust against noise and artifacts such as partial volume effect (PVE) and inhomogeneity. In this paper...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer
2018-04-01
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| シリーズ: | International Journal of Networked and Distributed Computing (IJNDC) |
| 主題: | |
| オンライン･アクセス: | https://www.atlantis-press.com/article/25898444/view |
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