Abstract
Abstract: A neoplasm could be a growth of abnormal cells within the brain. The anatomy of the brain is incredibly complex, with different parts accountable for different system functions. Brain tumors can develop in any a part of the brain or skull, including its protective lining, the underside of the brain (skull base), the brainstem, the sinuses and also the cavity, and plenty of other areas. There are over 120 differing types of tumors that may develop within the brain, counting on what tissue they arise from. a range of imaging techniques, including CT (or CAT) scan, MRI, occasionally an angiogram or X-rays may be wont to identify the tumor, pinpoint its location and/or assess the function of your brain. during this project we propose the Deep learning algorithms to beat the drawbacks of traditional classifiers where tumor is detected in brain MRI using deep learning algorithms. Deep learning and image classifier are often accustomed efficiently detect cancer cells in brain through MRI. Keywords: Brain Tumor, MRI Images, CNN, EfficientNet, deep learning
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