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English(EN) ViBMR: A Large-Scale Multi-Sequence Brain MRI Dataset and Comprehensive Evaluation for Vietnamese Radiology Report Generation

新的ViBMR数据集助力越南语放射学报告生成

研究人员推出了ViBMR,这是一个新的大规模数据集,专为从多序列脑部MRI生成放射学报告而设计,特别针对越南语。该数据集包含3,649名患者和11,875个MRI序列,涵盖T1、T2、FLAIR和增强T1序列。该项目旨在解决医学影像中低资源临床语言的标注数据稀缺问题。ViBMR还建立了一个用于脑部MRI报告生成的综合评估框架,利用了各种医学视觉-语言模型和特征聚合策略。 AI

影响 该数据集有望改善低资源语言的AI驱动诊断工具,可能加速服务不足地区的医学报告生成。

排序理由 该集群描述了一个用于医学报告生成的新学术数据集和评估框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的ViBMR数据集助力越南语放射学报告生成

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该集群描述了一个用于医学报告生成的新学术数据集和评估框架。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Dai Lam Le, Minh Khoi Nguyen, Son Dinh Nguyen, Amir Reza Jafari, Viet Ha, Nguyen Son, Reza Farahbakhsh, Noel Crespi, Phi Le Nguyen ·

    ViBMR: A Large-Scale Multi-Sequence Brain MRI Dataset and Comprehensive Evaluation for Vietnamese Radiology Report Generation

    arXiv:2610.29905v1 Announce Type: new Abstract: Automated radiology report generation for multi-sequence brain MRI holds strong promise for alleviating radiologists' workload, yet it remains a demanding problem: brain MRI studies are inherently volumetric, each pulse sequence car…