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An Approach to Detect Bone Tumor Using Segmentation Technique
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| Author:
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SUSMITHAVALLI GOGULA, K H VIJAYA KUMARI, R KARTHIK
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| Abstract:
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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.
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| Keyword:
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Bone tumor, Image Segmentation, K-Nearest Neighbour, Medical Imaging Support vector machine
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| EOI:
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| DOI:
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