Brain Tumor Classification Using Pretrained Convolutional Neural Networks

摘要

Nowadays, deep learning methods have fulfilled great image classification tasks. Convolutional neural networks for classifying brain images into four classes: no tumor, glioma, meningioma, and pituitary are introduced in this paper. The used dataset is public and has 3064 MRI brain images from 233 patients, also we have added 980 images with no tumor. A comparison between pretrained AlexNet, GoogleNet, DenseNet201, and ResNet101 has been done using our dataset. Our results show an accuracy of 98.76% obtained with finetuned ResNet101.