Author

J. Deasy

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Preprint Aug 2026

Parameter-Efficient pretrained-CT-to-MRI Transfer for Rectal Cancer Segmentation: Performance-Calibration Trade-offs

SWIFT, a SWin pretrained model wtih parameter-eFficient and tumor-aware fine-tuning for rectal cancer segmentation, is introduced, supporting robustness across pretrained initializations rather than external clinical generalizability.

A. Rangnekar, J. T. Gomez, J. Deasy et al. · 0 citations