Implementation of Brain Tumor Segmentation in brain MR Images using K-Means Clustering and Fuzzy C-Means Algorithm

Authors

  • Ms. Pritee Gupta I.T.S Engg. College, Gr. Noida (U.P)
  • Ms Mrinalini Shringirishi College of Science & Engineering ,Jhansi
  • Dr.yashpal Singh Bundelkhand Institute of Engg. &Technology, Jhansi

DOI:

https://doi.org/10.24297/ijct.v5i1.4387

Keywords:

Abnormalities, Magnetic Resonance Imaging (MRI), Brain tumor, Pre-processing, K-means, fuzzy c-means, Thresholding

Abstract

This paper deals with the implementation of Simple Algorithm for detection of range and shape of tumor in brain MR images. Tumor is an uncontrolled growth of tissues in any part of the body. Tumors are of different types and they have different Characteristics and different treatment. As it is known, brain tumor is inherently serious and life-threatening because of its character in the limited space of the intracranial cavity (space formed inside the skull). Most Research in developed countries show that the number of people who have brain tumors were died due to the fact of inaccurate detection. Generally, CT scan or MRI that is directed into intracranial cavity produces a complete image of brain. This image is visually examined by the physician for detection & diagnosis of brain tumor. However this method of detection resists the accurate determination of stage & size of tumor. To avoid that, this work uses computer aided method for segmentation (detection) of brain tumor based on the k.means and fuzzy c-means algorithms. This method allows the segmentation of tumor tissue with accuracy and reproducibility comparable to manual segmentation. In addition, it also reduces the time for analysis.

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Author Biographies

Ms. Pritee Gupta, I.T.S Engg. College, Gr. Noida (U.P)

Assistant Professor, CSE Deptt.

Ms Mrinalini Shringirishi, College of Science & Engineering ,Jhansi

Lect, CSE Deptt.

Dr.yashpal Singh, Bundelkhand Institute of Engg. &Technology, Jhansi

Reader & Head, IT Deptt.

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Published

2013-06-23

How to Cite

Gupta, M. P., Shringirishi, M. M., & Singh, D. (2013). Implementation of Brain Tumor Segmentation in brain MR Images using K-Means Clustering and Fuzzy C-Means Algorithm. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 5(1), 54–59. https://doi.org/10.24297/ijct.v5i1.4387

Issue

Section

Research Articles