Cargando…
Magnetic Resonance Features of Acquired Immune Deficiency Syndrome Involving Central Nervous System Diseases by Intelligent Fuzzy C-Means Clustering (FCM) Algorithm
This study was aimed to explore the application of fuzzy C-means (FCM) algorithm in MR images of acquired immune deficiency syndrome (AIDS) patients. Sixty AIDS patients with central nervous disease were selected as the research object. A method of brain MR image segmentation based on FCM clustering...
Autores principales: | Huang, Gang, Chen, Jiaqi, Ge, Yuli, Zhu, Xiaomei, Ding, Meixiao, Chen, Xugao, Qu, Chunsheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276516/ https://www.ncbi.nlm.nih.gov/pubmed/35836918 http://dx.doi.org/10.1155/2022/4955555 |
Ejemplares similares
-
Optimization of fuzzy c-means (FCM) clustering in cytology image segmentation using the gray wolf algorithm
por: Mohammdian-khoshnoud, Maryam, et al.
Publicado: (2022) -
Hybrid Fuzzy Clustering Method Based on FCM and Enhanced Logarithmical PSO (ELPSO)
por: Zhang, Jian, et al.
Publicado: (2020) -
Logo Detection Based on FCM Clustering Algorithm and Texture Features
por: Zaaboub, Wala, et al.
Publicado: (2020) -
An Automatic Image Inpainting Algorithm Based on FCM
por: Liu, Jiansheng, et al.
Publicado: (2014) -
Algorithms for fuzzy clustering: methods in c-means clustering with applications
por: Miyamoto, Sadaaki, et al.
Publicado: (2008)