A deep convolutional neural networks for brain tumor classification based on MRI images

Abstract

The tenth most common cause of death for both men and women is cancer of thebrain and associated nervous system tumors. According to estimates, primarymalignant brain and central nervous system tumors will be the cause of 18,980fatalities in the United States in 2023 (11,020 males and 7,970 women). Primarymalignant brain and central nervous system tumors are expected to have killed251,329 persons globally in 2020. So the classification of brain tumor is reallyimportant because identification of disease is the first step to prevent that. For that I are used to classify brain tumor using deep learning.For classification of brain tumor I applied three deep learning model one ml framework and two ml domain. Like Vgg16, ResNet50, Xception ,PyTorch , transfer learning and fine-tuning. After applyingon4278 MRI images I got loIst accuracy is 83.85% and highest accuracy is 98.01%inPyTorch fine-tuning.