Performance analysis of unsupervised optimal fuzzy clustering algorithm for MRI brain tumor segmentation.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine

Published Date: Jan 1, 2015

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.

Authors

S A Praylin Selva Blessy

Department of Electronics and Communication Engineering, Bethlahem Institute of Engineering, Karungal, Kanyakumari, Tamil Nadu, India.
C Helen Sulochana

Department of Electronics and Communication Engineering, St.Xavier's Catholic College of Engineering, Nagercoil, Kanyakumari, Tamil Nadu, India.

Keywords

Algorithms Brain Neoplasms Cluster Analysis Fuzzy Logic Humans Image Interpretation, Computer-Assisted India Magnetic Resonance Imaging Pattern Recognition, Automated Sensitivity and Specificity Task Performance and Analysis

External Resources

View on PubMed Access via DOI PubMed (25408284)

Performance analysis of unsupervised optimal fuzzy clustering algorithm for MRI brain tumor segmentation.

Abstract

Authors

Keywords

External Resources

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