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Brain Tumour Extraction from MRI Images Using Image Processing
Rina Bopche,  Amit Kolhe,  Pankaj Kumar Mishra
Matlab has played very important role in biomedical and it has many technique we are working on image segmentation and by using matlab we can solve so many problem for example the accurate data of tumor to cure it. As we knows the tumor is abnormal growth of tissue and MRI can’t tell the exact location of tumor up to now doctors were treating it by approximation and analysis so, to give complete information about brain tumor we are using image segmentation in matlab. This project includes noise removal technique (median filter), gray scale, thresholding, histogram equalization, K-means clustering and morphological operation (performing iterations). People affected by different category of tumor in India are 43%, 36% in US, and 31% in UK. By using this matlab based technique we can get accurate data for its size, location and stage of the tumor. Detection and extraction of tumour from MRI scan images of the brain is done by using MATLAB software (programming).
Keywords- tumor; median filter; histogram equalization; K means clustering segmentation; morphological operations; MRI;
Unique Identification Number - IJEDR1802102Page Number(s) - 569-573Pubished in - Volume 6 | Issue 2 | June 2018DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Rina Bopche,  Amit Kolhe,  Pankaj Kumar Mishra,   "Brain Tumour Extraction from MRI Images Using Image Processing"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 2, pp.569-573, June 2018, Available at :http://www.ijedr.org/papers/IJEDR1802102.pdf