Brain tumor diagnostics with application of hybrid fuzzy convolutional neural networks

The problem of classification of brain tumors on medical images is considered. For its solution hybrid CNN-ANFIS is developed in which convolutional neural network VGG-16 and ResNetV2_50 are used as feature extractors while ANFIS is used as the classifier. Training algorithms of ANFIS were implemented. The experimental investigations of the suggested hybrid network on the standard dataset Brain MRI images for brain tumor detection were carried out and comparison with known results was performed.