• Shruti Kakad
• Prof. Nutan Dhande

A Brain Cancer is very serious disease causing deaths of many individuals. The detection and classification system must be available so that it can be diagnosed at early stages. Cancer classification has been one of the most challenging tasks in clinical diagnosis. At present cancer classification is done mainly by looking through the cells’ morphological differences, which do not always give a clear distinction of cancer subtypes. Unfortunately, this may have a significant impact on the final outcome of whether a patient could be cured effectively or not. We have proposed a methodology to segment and classify the brain MRI image using k-means clustering algorithm and Genetic algorithm.

Brain Tumor, classification, image classification.

"Brain Tumor Detection and Classification Techniques in Image Processing: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.151-153, November-2018, Available :http://www.jetir.org/papers/JETIR1811B24.pdf

"Brain Tumor Detection and Classification Techniques in Image Processing: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp151-153, November-2018, Available at : http://www.jetir.org/papers/JETIR1811B24.pdf