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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Asıl Yazarlar:	Lilia Lazli, Mounir Boukadoum
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Springer 2018-04-01
Seri Bilgileri:	International Journal of Networked and Distributed Computing (IJNDC)
Konular:	Fuzzy c-means algorithm Possibilistic c-means algorithm Genetic algorithms Hybrid reasoning Brain tissue clustering Alzheimer’s disease
Online Erişim:	https://www.atlantis-press.com/article/25898444/view
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