SAM2-Aug, a fine-tuned SAM2 model that incorporates prior MRI and prior tumor annotations plus prompt augmentation, outperforms comparison models on liver, abdomen, and brain tumor segmentation for adaptive radiation therapy.
We found that simple input and prompt augmentations are effective strategies for improving tumor segmentation performance in ART
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SAM2-Aug: Prior knowledge-based Augmentation for Target Volume Auto-Segmentation in Adaptive Radiation Therapy Using Segment Anything Model 2
SAM2-Aug, a fine-tuned SAM2 model that incorporates prior MRI and prior tumor annotations plus prompt augmentation, outperforms comparison models on liver, abdomen, and brain tumor segmentation for adaptive radiation therapy.