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Achieve reliable segmentation of radiotherapy-induced normal tissue injuries, even with limited data, by intelligently prompting SAM with task-specific text, dose information, and iterative clicks.
By injecting clinically-relevant information like target contours and dose distributions, this registration framework achieves superior accuracy and robustness in longitudinal CT scans for proton therapy, outperforming generic deep learning methods.
