A Swin V2 encoder pretrained on 10,444 public 3D CT volumes using a DINOv2-style objective can be successfully adapted to T2-weighted MRI for rectal cancer segmentation

A Swin V2 encoder pretrained on 10,444 public 3D CT volumes using a DINOv2-style objective was adapted to T2-weighted MRI through four cumulative configurations

http://arxiv.org/abs/2608.27178v1