• Kusuma Kumari K
• Ch Anuradha
• Dr. P.Srirama Chandra Murty
• M Vishnu Vardhana Rao

The brain is an integral part of the human body responsible for regulating and controlling all vital life activities related to the body. A tumor is a mass of tissue formed from the collection of abnormal cells. A brain tumor is a tumor that forms or migrates into the brain. To date, no primary cause for brain tumors has been identified. Although brain tumors are not very common, brain tumors make up only 1.8% of the reported tumors worldwide. The mortality rate of malignant brain tumors is very high because it is an essential part of the body for tumor formation. Therefore, it is essential to accurately diagnose brain tumors at an early stage to reduce mortality. Therefore, we suggest a computer-assisted radiology system to diagnose brain tumors by MRI scans to diagnose brain tumors. In this study, we implemented a model of image separation using the Basin and PSO algorithm. It captures features using DWT and PCA algorithms. It classifies tumors using high-accuracy rates CNN, SVM, and Lacey IBK algorithm.

Brain tumor, Classification, Prediction, Machine Learning

"An effective brain tumor identification and classification using advanced Machine Learning techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.316-327, October-2020, Available :http://www.jetir.org/papers/JETIR2010041.pdf

"An effective brain tumor identification and classification using advanced Machine Learning techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp316-327, October-2020, Available at : http://www.jetir.org/papers/JETIR2010041.pdf