Effect of Image Enhancement on MRI Brain Images with Neural Networks

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Since human body's standard control metabolism stops, old cells do not die and these abnormal cells forms a mass of tissue, known as tumor. In order to diagnose tumors, huge biomedical machines such as MRI, PET-CT, and MG machines are used. Last decade, there are many studies in brain tumor detection in magnetic resonance imaging (MRI). Location of the brain tumor and precise size are detected with brain tumor detection. In this paper, image processing techniques are applied on MRI images to preserve information details. These techniques are erosion, contrast enhancement and median filtering. The purpose of observe is develop an image processing algorithm for brain cancer detection on MRI images. Comparison of back propagation neural networks will be done using original images and reconstructed images on the effect of categorization.




Dimililer, K., & Ilhan, A. (2016). Effect of Image Enhancement on MRI Brain Images with Neural Networks. In Procedia Computer Science (Vol. 102, pp. 39–44). Elsevier B.V. https://doi.org/10.1016/j.procs.2016.09.367

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