Deep learning algorithm for brain tumor detection and analysis using MR brain images

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dc.contributor.authorIsselmou, Abd El Kader
dc.contributor.authorGuizhi, Xu
dc.contributor.authorZhang, Shuai
dc.contributor.authorSaminu, Sani
dc.contributor.authorJavaid, Imran
dc.date.accessioned2022-01-10T10:32:02Z
dc.date.available2022-01-10T10:32:02Z
dc.date.issued2019-07-01
dc.description.abstractMedical 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%.en_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/7279
dc.language.isoenen_US
dc.publisherACM Digital Libraryen_US
dc.subjectComputing methodologiesen_US
dc.subjectComputer graphicsen_US
dc.subjectImage compressionen_US
dc.titleDeep learning algorithm for brain tumor detection and analysis using MR brain imagesen_US
dc.typeArticleen_US
dc.typePresentationen_US

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