A 3D SAM-Based Progressive Prompting Framework for Multi-Task Segmentation of Radiotherapy-induced Normal Tissue Injuries in Limited-Data Settings explores A 3D SAM-based framework for multi-task segmentation of radiotherapy-induced normal tissue injuries in limited-data settings, outperforming state-of-the-art.. Commercial viability score: 7/10 in Medical AI.
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Canonical route: /paper/a-3d-sam-based-progressive-prompting-framework-for-multi-task-segmentation-of-radiotherapy-induced-normal-tissue-injurie
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Agent Handoff
Canonical ID a-3d-sam-based-progressive-prompting-framework-for-multi-task-segmentation-of-radiotherapy-induced-normal-tissue-injurie | Route /paper/a-3d-sam-based-progressive-prompting-framework-for-multi-task-segmentation-of-radiotherapy-induced-normal-tissue-injurie
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/a-3d-sam-based-progressive-prompting-framework-for-multi-task-segmentation-of-radiotherapy-induced-normal-tissue-injurieMCP example
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}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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