• AKSHAY SHARMA
• VRUSHALI BIJJA
• RITESH VARMA
• MANASI PAWAR
• DR. SUDHANSHU GONGE

Current system presents the implementation of different algorithms for detection of range and shape of tumor in brain MR images and identifies stage of tumor from the given area of tumor. Tumor is an uncontrolled growth of tissues in any part of the body. After researching a lot statistical analysis which is based on those people whose are affected in brain tumor some general Risk factors and Symptoms have been discovered. The development of technology in science day night tries to develop new methods of treatment. This image is visually examined by the physician for detection & diagnosis of brain tumor. However this method accurate determines the accurate of stage & size of tumor and identifies stage of tumor from the area of tumor. This work uses segmentation of brain tumor based on the k-means and fuzzy c-means algorithms. This method allows the segmentation of tumor tissue with accuracy and reproducibility comparable to manual segmentation. In addition, it also reduces the time for analysis and identifies stage of tumor from the given area of tumor.

Magnetic Resonance Imaging (MRI), Brain tumor, Pre-processing, K-means, fuzzy c-means, Thresholding.

"Segmentation of Brain Tumor Using Different Clustering Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.92-97, April-2019, Available :http://www.jetir.org/papers/JETIR1904F18.pdf

"Segmentation of Brain Tumor Using Different Clustering Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp92-97, April-2019, Available at : http://www.jetir.org/papers/JETIR1904F18.pdf