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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Atlantis Press
2018-04-01
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| Series: | International Journal of Networked and Distributed Computing (IJNDC) |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25898444/view |