The Analysis of Disease from MRI Image using Automatic Segmentation
Pavithra
, Sheetal Rhea D'souza , S Sushmitha , Dhanush M S , Sachin Bhat
Automatic Image Segmentation, Image Processing, Magnetic Resonance Imaging, K-Means clustering, Morphological Operators
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.
"The Analysis of Disease from MRI Image using Automatic Segmentation", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 5, page no.614 - 622, May-2018, Available :https://ijsdr.org/papers/IJSDR1805091.pdf
Volume 3
Issue 5,
May-2018
Pages : 614 - 622
Paper Reg. ID: IJSDR_180299
Published Paper Id: IJSDR1805091
Downloads: 000347423
Research Area: Engineering
Country: Udupi, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
