Image Segmentation Of Detection Of Lump Using Algorithm

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“ Image Segmentation Of Detection Of Lump Using Algorithm”

Nikhil B Bhosle Bhagban J Choudhury Nilesh S Magam Project Guide:-J.P.Patil
(bhosle.nikhila03@gmail.com) (bhagbanchoudhury18@gmail.com) (nil25may@gmail.com) (jeetoo.patil@gmail.com)

Abstract— Tumor is a swelling of a part of the body, generally without inflammation, caused by an abnormal growth of cells it is also known as cancerous growth and uncontrol growth and they also have different treatment. This paper is to implement of few Algorithms for rooting out the distance and the shape of tumor in brain by using MRI Images. Usually result of this process can be viewed by first doing CT scan or by MRI scan. In this paper Magnetic Resonance Imaging scanned image is basically used for this whole procedure, For identifying purpose Magnetic Resonance Imaging scan is more accurate than any other scan it will never affect our human body reason for this is it doesn’t require any radiation It is centered on the magnetic field and radio waves. There are many types of algorithm which were developed to cure brain Tumor detection. But few of them have different drawbacks for extraction and detection process. After the segmentation process which has been taken by fuzzy c-means and k-means clustering by doing this process the detection and extraction location are identified. By differentiate

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