triprompt: deformation-aware multimodal prompting for robust 3D segmentation
Researchers have developed 'triprompt,' a new AI framework for 3D medical image segmentation that accounts for organ deformation caused by respiration and tumors. By integrating visual, textual, and deformation-aware prompts, the model improves accuracy in clinical imaging.
Why it matters
Advancements in AI-driven medical imaging can significantly improve diagnostic precision and treatment planning for complex conditions.
Scientific Reports ( 2026 ) Cite this article
We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in