This dataset is a collection of synthetic images generated by 5 generative models (Progressive GAN, StyleGAN1, StyleGAN2, StyleGAN3, diffusion model) trained on the BraTS 2020 and 2021 datasets [1,2,3
PairDx is a balanced multimodal dataset designed for medical image-text classification tasks. Curated from the well-known MultiCaRe dataset, PairDx comprises 22,665 image-caption pairs spanning six di
