• Ashish Bhatt
• Dr. Vineeta Saxena Nigam

MRI images help physicians study and diagnose diseases or tumor present in the brain. This work is focused towards helping the radiologist and physician to have a second opinion on the diagnosis. Medical diagnosis via image processing and machine learning is considered one of the most important issues of artificial intelligence systems. Among the available approaches for diagnosis and evaluation of the brain, MRI imaging is a widely acceptable method which provides accurate brain images. This paper presents a machine learning approach to detect whether an MRI image of a brain contains a tumor or not. The results show that proposed approach is very effective and helpful to accurate prediction.

Machine Learning, MRI image, Brain, Feature extraction.

"An Efficient Approach based on Machine Learning for Diagnosis of Brain Tumors", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.g772-g776, May-2021, Available :http://www.jetir.org/papers/JETIR2105900.pdf

"An Efficient Approach based on Machine Learning for Diagnosis of Brain Tumors", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppg772-g776, May-2021, Available at : http://www.jetir.org/papers/JETIR2105900.pdf