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International Journal of Scientific Development and Research - IJSDR
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Paper Title: The Analysis of Disease from MRI Image using Automatic Segmentation
Authors Name: Pavithra , Sheetal Rhea D'souza , S Sushmitha , Dhanush M S , Sachin Bhat
Unique Id: IJSDR1805091
Published In: Volume 3 Issue 5, May-2018
Abstract: Image Segmentation is an important and challenging factor in the field of medical sciences. It is widely used for the detection of tumors. This paper deals with detection of brain tumor from MR images of the brain. The brain is the anterior most part of the nervous system. Tumor is a rapid uncontrolled growth of cells. Magnetic Resonance Imaging (MRI) is the device required to diagnose brain tumor. The normal MR images are not that suitable for fine analysis, so segmentation is an important process required for efficiently analyzing the tumor images. Clustering is suitable for biomedical image segmentation as it uses unsupervised learning. This paper work uses K-Means clustering where the detected tumor shows some abnormality which is then rectified by the use of morphological operators along with basic image processing techniques to meet the goal of separating the tumor cells from the normal cells.
Keywords: Automatic Image Segmentation, Image Processing, Magnetic Resonance Imaging, K-Means clustering, Morphological Operators
Cite Article: "The Analysis of Disease from MRI Image using Automatic Segmentation", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 5, page no.614 - 622, May-2018, Available :http://www.ijsdr.org/papers/IJSDR1805091.pdf
Downloads: 0001526
Publication Details: Published Paper ID: IJSDR1805091
Registration ID:180299
Published In: Volume 3 Issue 5, May-2018
DOI (Digital Object Identifier):
Page No: 614 - 622
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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