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Updated: Jan 30, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

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一个以知识为导向和不确定性校准的多式联络框架,用于骨折诊断和放射学报告生成

Riadh Bouslimi1

  • 1Higher School of Digital Economics, University of Manouba, Tunisia; University of Tunis, ISG, BESTMOD-LR99ES04, Bardo 2000, Tunisia.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
|January 28, 2026
PubMed
概括

这项研究介绍了UG-GraphT5,这是一种用于骨折诊断和报告生成的AI框架. 它提高了准确性,并提供了不确定性意识的报告,帮助资源有限的设置.

关键词:
计算机化医学成像和图形.骨折的诊断 骨折的诊断 骨折的诊断知识图是知识图.多模式学习是多模式学习.放射学 放射学是一门学科.报告生成 报告生成在UG-图表T5不确定性估计估计不确定性

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