This paper is published in Volume 2, Issue 7, 2017
Area
Fuzzy Mathematics
Author
R. Rathika
Co-authors
N. Venkatesan
Org/Univ
Prist University, India
Pub. Date
29 July, 2017
Paper ID
V2I7-1162
Publisher
Keywords
Fuzzy Systems, Brain Tumour Segmentation, Tumour Segmentation in Brain MRI.

Citationsacebook

IEEE
R. Rathika, N. Venkatesan. A Study on Brain Tumor Segmentation of MRI 3 Tesla Using a Fuzzy Approach with Algorithm, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARnD.com.

APA
R. Rathika, N. Venkatesan (2017). A Study on Brain Tumor Segmentation of MRI 3 Tesla Using a Fuzzy Approach with Algorithm. International Journal of Advance Research, Ideas and Innovations in Technology, 2(7) www.IJARnD.com.

MLA
R. Rathika, N. Venkatesan. "A Study on Brain Tumor Segmentation of MRI 3 Tesla Using a Fuzzy Approach with Algorithm." International Journal of Advance Research, Ideas and Innovations in Technology 2.7 (2017). www.IJARnD.com.

Abstract

Image segmentation algorithms and techniques find its applications in a wide number of domains. Segmentation of brain tumor and overall internal structure of the brain is one of the main applications in the field of medical imaging. Magnetic resonance imaging (MRI) technique is one of the many imaging modalities that are available to scan and capture the internal soft tissue structures of the body. In this paper, proposed techniques have been given to extract the tumor portion, successfully demarcate the tumor boundary, and locate the tumor with a bounding circle and to diagnose whether the tumor is present or absent. A fuzzy clustering-based technique is proposed which helps to study & analyze the intricate structure of the brain, hence can be used as a visual analysis and a study tool.
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