Abstract: To analyse the tumours and help patients receive the appropriate treatment according to their classifications, it is essential to have a thorough understanding of brain disorders such as classifying Brain-Tumors (BT). There are many imaging techniques for BT detection, including magnetic resonance imaging (MRI), which is frequently used due to the higher image quality and fact that it uses non-ionizing radiation. With the help of two datasets and a Gaussian Convolutional Neural Network (GCNN), this research suggests a method for identifying different BT types. To categorise tumours into pituitary, glioma, and meningioma, one of the datasets is employed.
Keywords: Deep learning, brain tumor classification, Gaussian convolutional neural network
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DOI:
10.17148/IJARCCE.2023.12584
[1] Chandini.R, Monika.D, Amsavalli.k, Maheswari.M, "BRAIN TUMOUR PREICION USING MOBILE NET-DEEP LEARNING AND SEGMENTATION CNN ALGORITHM," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.12584
