Detection Of Brain Tumor Detection Essay - 941 Words

Abstract—A tumor is the growth in the abnormal tissue of the brain which causes damage to the other cells necessary for functioning. Detection of brain tumor is a difficult task, as there are various techniques involved in it. The active imaging resource used for brain tumor detection is Magnetic Resonance Imaging (MRI). It is necessary to use technique which can give the accurate location and size of the tumor. There are various algorithms proposed for brain tumor detection, this paper presents a survey on the various brain tumor detection algorithms. It gives the existing techniques and what are the advantages and disadvantages of these techniques. Keywords—Brain tumor, MR Imaging (MRI),segmentation,K-means I. INTRODUCTION A tumor is a mass of cell that is formed by accumulation of abnormal cells. The complex brain tumors can be categorized on the basis of their origin, growth pattern and malignancy. It can be detected as benign or malignant, benign being the non-cancerous and malignant the cancerous. The diagnosis of brain tumor is difficult because of the diversity in shape, size and location in the brain. Medical imaging helps in the detection of tumor, there are various techniques like MRI, CT scan, Ultrasound and X-ray. We are taking Magnetic Resonance Imaging (MRI) into consideration. MRI gives high quality images of the body parts and is often used while treating tumors. To detect the tumor area in the human brain, separation of cells from the nuclei isShow MoreRelatedSegmentation Of Brain Mr Images For Tumor Area And Size Detection By Using Of Clustering Algorithm1536 Words   |  7 PagesSEGMENTATION OF BRAIN MR IMAGES FOR TUMOR AREA AND SIZE DETECTION BY USING OF CLUSTERING ALGORITHM Shinu Sadeyone1 Assistant professor (Sathyabama University, Chennai) S.Freeda2 Assistant professor (A.C.T engineering college, Chngalpattu) 1shinusedayone@gmail.com. 2freeda27@gmail.com. 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