Table 7 Evaluation of all the deep learning models for brain tumor classification using the BraTS 2021 Dataset. It can be observed that the data augmentation using the StyleGANv2-ADA GAN model achieves the best overall accuracy. The accuracy given here is the average of 5-fold training. Data Augmentation A = 50% is the parameter that shows how much training data in each fold is augmented and appended only to the train data

From: Development of brain tumor radiogenomic classification using GAN-based augmentation of MRI slices in the newly released gazi brains dataset