title: Performance analysis of unsupervised optimal fuzzy clustering algorithm for MRI brain tumor segmentation.
abstract: BACKGROUND
  Segmentation of brain tumor from Magnetic Resonance Imaging (MRI) becomes very complicated due to the structural complexities of human brain and the presence of intensity inhomogeneities.
  
  
  OBJECTIVE
  To propose a method that effectively segments brain tumor from MR images and to evaluate the performance of unsupervised optimal fuzzy clustering (UOFC) algorithm for segmentation of brain tumor from MR images.
  
  
  METHODS
  Segmentation is done by preprocessing the MR image to standardize intensity inhomogeneities followed by feature extraction, feature fusion and clustering.
  
  
  RESULTS
  Different validation measures are used to evaluate the performance of the proposed method using different clustering algorithms. The proposed method using UOFC algorithm produces high sensitivity (96%) and low specificity (4%) compared to other clustering methods.
  
  
  CONCLUSIONS
  Validation results clearly show that the proposed method with UOFC algorithm effectively segments brain tumor from MR images.
authors.affiliation: Department of Electronics and Communication Engineering, Bethlahem Institute of Engineering, Karungal, Kanyakumari, Tamil Nadu, India.
authors.forename: S A Praylin Selva
authors.initials: SA
authors.lastname: Blessy
authors.affiliation: Department of Electronics and Communication Engineering, St.Xavier's Catholic College of Engineering, Nagercoil, Kanyakumari, Tamil Nadu, India.
authors.forename: C Helen
authors.initials: CH
authors.lastname: Sulochana
mesh_terms: D000465:Algorithms; D001932:Brain Neoplasms / Q000175:diagnosis*; D016000:Cluster Analysis; D017143:Fuzzy Logic; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007194:India; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated; D012680:Sensitivity and Specificity; D013647:Task Performance and Analysis
keywords: Fuzzy C-means; MRI brain tumor; UOFC algorithm; feature extraction; segmentation