Various Brain Tumor Detection Techniques Essay

Various Brain Tumor Detection Techniques Essay

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Brain tumor is an abnormal mass of tissue in which some cells grow or multiply uncontrollably. Various techniques have been developed for detection of brain tumor. This paper focuses on survey of well-known brain tumor detection techniques and the applied image segmentation procedures. The main concentration is on the techniques which use image segmentation to detect brain tumor. These techniques include Magnetic Resonance Imaging (MRI), functional MRI (fMRI), Computed Tomography ( CT ) Scans and various others. Differences based on performance and accuracy between some well-known techniques and the methodologies applied in various image segmentation techniques are also considered in this paper.
Index Terms— Magnetic Resonance Imaging (MRI), functional MRI (fMRI), Computed Tomography ( CT ) Scans, Genetic Algorithms (GAs).

I. INTRODUCTION

A brain tumor is an abnormal growth of tissue in the brain. The abnormal growth is created by an uncontrolled cell division which occurs usually in the brain itself [4] Brain cancer is most treatable and curable if caught in the earliest stages of the disease. The untreated and/or advanced brain cancer is the one that spread inwards as the skull does not allow the brain tumor to expand outwards which puts excessive pressure on the brain and can cause permanent brain damage and eventually death [5]. There are more than 120 different types of brain tumors; some are malignant (cancer), many are benign (non- cancerous). Brain tumors can be broadly classified into two categories: Primary brain tumors i.e those that begin in the brain and tend to stay in the brain and Metastatic brain tumors which begin as a cancer elsewhere in the body and migrate, to the brain [1].

Various methodologies whic...


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...al image segmentation,” Expert Systems with Applications. In press.
35. SUCHITA S.MESAKAR, M.S.CHAUDHARI, “IMAGE SEGMENTATION BY FUZZY CLUSTERING ALGORITHM FOR BRAIN TUMOR DETECTION,” Proceedings of IRAJ International Conference, 21st July 2013, Pune, India, ISBN: 978-93-82702-22-1.
36. M´ario A. T. Figueiredo, Dong Seon Cheng, Vittorio Murino, “Clustering Under Prior Knowledge with Application to Image Segmentation,” .
37. Ameer Ali, M., Dooley, L.S., and Karmakar,G.C.,Object based segmentation using fuzzy clustering, in IEEE International Conference on Acoustics, Speech, and Signal Processing.2006.
38. J.Selvakumar, A.Lakshmi, T.Arivoli, “Brain tumor segmentation and its area calculation in brain MR Images using K-Mean Clustering and Fuzzy C-Mean Algorithm”, International Conference On Advances in Engineering, Science and Management(ICAESM-2012) March 30,31 2012.

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