The classification of brain tumors is performed by biopsy, which is not usually conducted\nbefore definitive brain surgery. The improvement of technology and machine learning can help\nradiologists in tumor diagnostics without invasive measures. A machine-learning algorithm that\nhas achieved substantial results in image segmentation and classification is the convolutional neural\nnetwork (CNN).We present a new CNN architecture for brain tumor classification of three tumor\ntypes. The developed network is simpler than already-existing pre-trained networks, and it was tested\non T1-weighted contrast-enhanced magnetic resonance images. The performance of the network was\nevaluated using four approaches: combinations of two 10-fold cross-validation methods and two\ndatabases.......................
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