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INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

A Step Towards Excellence

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

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0975-2366
5 - Years Impact Factor

Year 2012 - 2016

Impact Factor: 1.55

Total Publications: 317

Total Citation: 491

Year 2011 - 2015

Impact Factor: 1.46

Total Publications: 326

Total Citation: 477

Year 2010 - 2014

Impact Factor: 1.3

Total Publications: 313

Total Citation: 407

Year 2009 - 2013

Impact Factor: 0.973

Total Publications: 293

Total Citation: 285

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An Approach to Detect Bone Tumor Using Segmentation Technique

Author: SUSMITHAVALLI GOGULA, K H VIJAYA KUMARI, R KARTHIK
Abstract: Cancer is a multi-factor disease caused due to environmental factors like food and pollution it is often stated as neoplastic growth of tissue in bone. Multiplication of cells into multiples lead to forming a tumor in any part of the body leading to form as a hard boll like substance found when touched or scanned. It is 2ndmost cause of deaths all over the world. Such disease identification is the most important corner in medical science. Growth of medical science has increased drastically to scan every part of body to find minute and minute diseases but still cancer remains to be the fastest growing and most dangerous disease for which vaccines and medication is still out of reach to a common man. In this paper presents an approach to detect bone tumor using segmentation technique from MRI images. A proposed approach integrates pre-processing technique. To extract tumor region we have used image segmentation techniques, viz., K-Nearest Neighbour (KNN) technique and Support Vector Machine(SVM). For the detection of bone tumor, an experimental result is presented using segmentation technique. The main reason for detection of bone tumors is to provide aid to clinical diagnosis.
Keyword: Bone tumor, Image Segmentation, K-Nearest Neighbour, Medical Imaging Support vector machine
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