Automatic Brain Tumor Segmention Using Modified FCM (MFCM)

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Pravina Khandagale, Kajal Bile, Monika Raste, Ujjwala Kamble, Prof.Dhananjay Linge

Abstract

This paper gives brief information about extraction of brain tumor area from MRI images. The brain tumor is one of the serious disease in world. Due to brain tumor number of people lost their life. If we diagnosis tumor in early time then life period of tumor affected patient will be increase. So, the aim of our transaction paper is automatic brain tumor segmentation with the help of image processing. Segmentation of brain tumor is very essential process in medical science. For segmentation we are using Modified FCM. The FCM is one of the segmentation technique used for tumor segmentation. But its speed is less. So we are using modified FCM. The MFCM uses compressed data set so it is faster than FCM. The input images are MRI images. The MRI is one of the important method for scanning the human body. It doesn?t require more preprocessing as this are clearer than CT scan images.

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How to Cite
, P. K. K. B. M. R. U. K. P. L. (2017). Automatic Brain Tumor Segmention Using Modified FCM (MFCM). International Journal on Recent and Innovation Trends in Computing and Communication, 5(1), 294–297. https://doi.org/10.17762/ijritcc.v5i1.137
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Articles