• Ashish Bhatt
• Dr. Vineeta Saxena Nigam

MRI images help physicians study and diagnose diseases or tumors present in the brain. This work is focused towards helping the radiologist and physician to have a second opinion on the diagnosis. The ambiguity of Magnetic Resonance (MR) image features is solved in a simpler manner. The MRI image acquired from the machine is subjected to analysis in the work. The real-time data is used for the analysis. Basic preprocessing is performed using various filters for noise removal. The de-noised image is segmented, and the feature extractions are performed. This paper presents the machine learning approach for diagnosis of brain tumors from MRI images.

MRI image, brain, Algorithm, Feature extraction

"Machine Learning Approach for Diagnosis of Brain Tumors from MRI Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.1406-1409, April-2021, Available :http://www.jetir.org/papers/JETIR2104395.pdf

"Machine Learning Approach for Diagnosis of Brain Tumors from MRI Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp1406-1409, April-2021, Available at : http://www.jetir.org/papers/JETIR2104395.pdf