Improved K-Means Algorithm for Identification MR Brain Image Tumor

Research Area: Volume 2 Issue 5, Sept. 2013 Year: 2013
Type of Publication: Article Keywords: Magnetic Resonance Imaging MRI, Brain Tumor, Fuzzy C-means, K-means, Clustering
Authors:
  • Prof. Dilip Kumar Gandhi
  • Sunil T. Bhoi
  • Prof. Vikas Gupta
Journal: IJEIR Volume: 2
Number: 5 Pages: 459-462
Month: September
Abstract:
Now a days there are so many biomedical applications are developed. Magnetic resonance imaging (MRI) is another modern diagnostic imaging technique that produces cross-sectional images of brain. Brain tumors are created by an abnormal and uncontrolled cell division. The MRI tool uses magnetic fields and a sophisticated computer to take high-resolution pictures of brain soft tissues. These images are visually examined by the physician for detection & diagnosis of brain tumor. In this paper an improved fuzzy K-means algorithm for detecting the shape of tumor in brain MR Images is described. This project uses computer aided method for detection of brain tumor and assist to physician for calculate correct shape of tumor. It also reduces the time for analysis.

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