A progressive prompting framework on 3D SAM with text, dose-box, and click prompts plus small-target loss achieves reliable multi-task segmentation of osteoradionecrosis, cerebral edema, and cerebral radiation necrosis on a new limited-data dataset and outperforms prior methods.
arXiv preprint arXiv:1810.11654
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A 3D SAM-Based Progressive Prompting Framework for Multi-Task Segmentation of Radiotherapy-induced Normal Tissue Injuries in Limited-Data Settings
A progressive prompting framework on 3D SAM with text, dose-box, and click prompts plus small-target loss achieves reliable multi-task segmentation of osteoradionecrosis, cerebral edema, and cerebral radiation necrosis on a new limited-data dataset and outperforms prior methods.
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Align then Refine: Text-Guided 3D Prostate Lesion Segmentation
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