Deep learning algorithm for brain tumor detection and analysis using MR brain images
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Date
2019-07-01
Authors
Isselmou, Abd El Kader
Guizhi, Xu
Zhang, Shuai
Saminu, Sani
Javaid, Imran
Journal Title
Journal ISSN
Volume Title
Publisher
ACM Digital Library
Abstract
Medical 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%.
Description
Keywords
Computing methodologies, Computer graphics, Image compression