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Automated Detection and Extraction of Brain Tumor from MRI Images
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 77 - Number 4 |
| Year of Publication: 2013 |
| Authors: Neha Tirpude, Rashmi Welekar |
10.5120/13383-1007
|
Neha Tirpude, Rashmi Welekar . Automated Detection and Extraction of Brain Tumor from MRI Images. International Journal of Computer Applications. 77, 4 ( September 2013), 26-30. DOI=10.5120/13383-1007
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 technique has been given to extract the tumor portion, successfully demarcate the tumor boundary, 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.
References
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