Efficient Image Segmentation based Brain Tumor Detection in MRI images


Efficient Image Segmentation based Brain Tumor Detection in MRI images

Priya M.S, G.M. Khadar Nawaz

Priya M.S, G.M. Khadar Nawaz "Efficient Image Segmentation based Brain Tumor Detection in MRI images" Published in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Special Issue | NCIRCC-17 , April 2017, URL: http://www.ijtrd.com/papers/IJTRD8432.pdf

Major brain tumors are not diagnosed until after symptoms appear. Often a brain tumor is initially diagnosed by an internist or a neurologist. An internist is a doctor who specializes in treating adults. A neurologist is a doctor who specializes in problems with the brain and central nervous system. Diagnosing a brain tumor usually begins with magnetic resonance imaging (MRI). MRI Imaging play an important role in brain tumor for analysis, diagnosis and treatment planning. Brain tumor detections using MRI images are a challenging task, because the complex structure of the brain. Brain tumor is an abnormal growth of cell of brain. MRI images offer better difference concern of various soft tissues of human body. This paper has proposed Tumor Detection System to identify the abnormal growth of cells in brain. The methodology includes image pre-processing, image segmentation, morphological operations and the detection of tumor in the brain. The system was designed and developed using MATLAB.

medical imaging; Brain tumor; Magnetic Resonance Imaging; Thresholding; Histogram


Special Issue | NCIRCC-17 , April 2017

2394-9333

IJTRD8432
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