11Novel Study of MRI Brain Tumor Detection and Segmentation by Digital Image Processing Techniques
V. Thamilarasi1*, N. Kanya2, R. Roselin1, Dahlia Sam2 and S. Babu3
1Computer Science, Sri Sarada College for Women (Autonomous), Salem, Tamil Nadu, India
2Department of Information Technology, Dr. M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India
3Department of ISM, JHA Agarsen College, Chennai, India
Abstract
The brain is a more complicated organ that controls the overall activities of the human body. It captures information through sensory organs and acts accordingly once cognitive ability, memory power, and emotions are controlled by the brain. It is a combination of the cerebrum, cerebellum, and brainstem. The brain may be affected by various diseases, including brain tumors, Alzheimer’s disease, Parkinson’s disorder, and stroke. Maximum diseases result from neurological disorders. Tumors are different from neurological disorders. A brain tumor is the second leading disease around the world, and it destroys people’s lives. It needs more research to attain the solution and proper treatment. Radiologists use various modalities to capture the brain, and different types of images are available for brain image analysis. Particularly, magnetic resonance imaging (MRI) is a very basic method among other methods that produce various modalities of brain tissues, such as T1-weighted, T2-weighted, and proton density (PD)–weighted images. Normally, MRI images capture ...
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