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INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

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IJPR included in UGC-Approved List of Journals - Ref. No. is SL. No. 4812 & J. No. 63703

Published by : Advanced Scientific Research
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0975-2366
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IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

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Effective Detection of Brain Tumor from Colour MRI Images Using Clustering Segmentation Techniques

Author: S SANTHIKUMARI, VAMSIDHAR ENIREDDY
Abstract: Brain is the primary complex organ in the human body. Brain tumor due to the abnormal cells of proliferation, brain tumor decrease the life expectancy of the patient when not identify at early stage. If identify at an early stage, life expectation of the patientmay rise. To identify the tumor preciselyso many image processing techniques were proposed by so many authors.Nowadays proper segmentation of tumors in brain images is very necessarythat helps in proper treatment. Among various modalities Magnetic resonance imaging (MRI)is usedto segment the tumor due low ionization and noise. In this paper, study the various clustering segmentation techniques to identify the tumor from human brain MRI images. The clustering techniques such as K-means andfuzzy c-means(FCM) techniques are used after proper pre-processing steps. Both clustering methods performances evaluated by dice coefficient (DC), Jaccard similarity index (JSI),structural similarity indexmeasure (SSIM), and time. Finally,the FCM accurately detect the tumor as compared to the K-means clustering due to multiple clusters update iteratively. And it is observed that FCM take more time to identify the tumoras compared with K-means clustering algorithm.
Keyword: Brain tumor, MRI, K-means, fuzzy c-means,dice coefficient, SSIM, JSI
DOI: https://doi.org/10.31838/ijpr/2021.13.02.182
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