Isselmou, Abd El KaderGuizhi, XuZhang, ShuaiSaminu, SaniJavaid, Imran2022-01-102022-01-102019-07-01https://uilspace.unilorin.edu.ng/handle/20.500.12484/7279Medical image processing paly a good role in helping the radiologists and facility patients diagnosis, the aims of this paper is created deep learning algorithm to detect brain tumor using magnetic resonance brain images and analysis the performance of algorithm based on different values, accuracy, sensitivity, specificity, ndice, nJaccard coeff and recall values. The significance of convolution neural network (CNN) it’s the ability to detect brain clearly with high performance. We propose framework is successfully tested on data source on magnetic resonance brain images of the patients suffering from different brain tumor types reaching a Dice similarity 86,785% and high accuracy 98, 33%.enComputing methodologiesComputer graphicsImage compressionArticle