Abstract

An Efficient Brain Tumor Detection Algorithm based on Segmentation for MRI System

Highlights

  • Accurate measurements are quite difficult in brain diagnosis because of diverse shapes, sizes and appearances of tumors

  • The researchers of the most developed countries has concluded that number of people suffering and dying from brain tumors has been increased to 300 per year during past few decades

  • Image Acquisition: Images for this are obtained using magnetic resonance imaging (MRI) scan and these scanned images are displayed in a two dimensional matrices having pixels as its elements

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Summary

Introduction

Accurate measurements are quite difficult in brain diagnosis because of diverse shapes, sizes and appearances of tumors. Tumors can grow abruptly causing defects in neighboring tissues which gives an overall abnormal structure for healthy tissues as well. A technique is developed for 3D segmentation of a brain tumor by using segmentation in conjunction with morphological operations. A. Tumor: The word tumor is known as neoplasm which is formed by an abnormal growth of cells. It is something totally different from cancer

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