Abstract
Brain tumors are uncontrolled expansion of brain cells. Brain tumors are the most common cancer killers among both children and adults under the age of 40. Every year, over 12,000 people are diagnosed with brain tumors, of which 500 are children and young people. The functionality of brain is affected by abnormal cells growth in the brain. Early stage detection of brain tumor helps in providing better medications that can escalate the patient’s life span. A computer system that can help in locating and classifying tumors for the radiologists. MRI scans are the most useful thing in imaging medical diagnosis. In recent years, MRI has emerged as a critical tool in medical imaging. Many advanced techniques and strategies are being developed by researchers. The proposed study consists of a deep learning architecture called the EfficientNet-B0 model that can automatically classify brain tumors in MRI images.
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