Abstract
AbstractThe impact of brain tumors in medical field cannot be ignored and may lead to a short life in their highest grade. Thus, conduction of proper diagnosis that too in its early stage to improve the quality of life of patients is a necessity. Normally, several image processing techniques including computed tomography (CT) and magnetic resonance imaging (MRI) are being utilized to localize and calculate the size and tumor in a brain. But it has limited performance for accurate quantitative measurements that too in a small number of sample images. In this work, a simple yet robust classification using convolutional neural networks (CNN) for brain tumor is proposed. The investigational outcomes with low complication are anticipated and potentially compete the relevant state-of-the-art methods.KeywordsArtificial intelligenceConvolutional neural networkDeep learningMedical diagnosisMedical resonance imaging
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