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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. This project is mainly to solve the disadvantage of region based segmentation. 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, hist. equalization, segmentation 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; segmentation; morphological operations; MRI; MATLAB;
Cite Article:
"Review: Brain tumor extraction from MRI images using images using image processing", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 2, page no.1 - 6, February-2019, Available :http://www.ijrti.org/papers/IJRTI1902001.pdf
Downloads:
000204834
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator