Comparison of Various Classification Technique using MRI Images to Detect Malignant or Benign Tumor

The brain is the greatest imperative body part in the human body, responsible for monitoring and regulating entirely serious lifetime functions for the body and a tumor is a form of flesh formed by the buildup of anomalous cells, which keep on increasing. A brain tumor is a tumor which is moreover designed in the brain or has wandered Not at all prime cause has been recognized for the development of tumors in the brain till date. Still the death proportion of malignant brain tumors is increasing due to the circumstance that the tumor development is in the most life-threatening tissue of the body. Hereafter, it is of greatest importance to exactly detect brain tumors at primary stages to lesser the death rate. In this paper, we have applied a prototypical that segments images using Watershed and PSO algorithm, extracts features using DWT and PCA algorithms and finally classifies the tumors using CNN, SVM and Lazy IBK and Decision Tree algorithms with a high degree of accuracy [1].