Self-Supervised Contrastive Learning for Cardiac MR Sequence Classification 事件

Self-Supervised Contrastive Learning for Cardiac MR Sequence Classification arXiv:2605.24789v1 Announce Type: new Abstract: Vision Transformer (ViT) models, utilizing self-attention mechanisms, have demonstrated robust generalization capabilities across various vision tasks, including image classification. However, these models, typically pretrained on general public datasets, often lack the specialized domain knowledge necessary for medical imaging applications. In this study, we investigate t