Discrimination of Ovarian Cancer Types using Vision Transformer in Multi-Modal MRI Images

Early detection and precise classification of ovarian cancer types remain significant challenges in clinical practice due to the complexity of MRI image interpretation and limited prior research specifically focused on type differentiation. To address this issue, we propose a Vision Transformer (ViT)-based framework capable of distinguishing ovarian cancer types by extracting both local and global features from MRI images.