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English(EN) BoneAgeTW2: Automated Skeletal Maturation Assessment via the Tanner-Whitehouse 2 Method, Deep Learning, and Clinical Report Generation with Distribution Curves

新的开源系统可自动评估骨骼成熟度

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了BoneAgeTW2，一个旨在自动化Tanner-Whitehouse 2 (TW2) 骨骼成熟度评估协议的开源系统。该系统利用YOLOv8进行骨骼检测，并使用EfficientNet-B3对20块手骨的成熟度进行分类。它生成带有分布曲线的详细临床PDF报告，将骨骼成熟度与人群常模进行比较。该模型在一个大型儿科手部X光片数据集上进行了训练，并且其完整的代码库是公开可用的。 AI

影响 该系统可以简化骨骼成熟度评估的临床工作流程，有可能提高诊断速度和一致性。

排序理由 该集群描述了一篇关于医学图像分析开源系统的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

新的开源系统可自动评估骨骼成熟度

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该集群描述了一篇关于医学图像分析开源系统的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Juan Manuel Castillo Pinto ·

    BoneAgeTW2：通过Tanner-Whitehouse 2法、深度学习和带分布曲线的临床报告生成实现骨龄自动化评估

    arXiv:2607.23224v1 Announce Type: cross Abstract: We present BoneAgeTW2, the first fully open-source system to automate the complete Tanner-Whitehouse 2 (TW2) clinical protocol for skeletal maturity assessment end-to-end. The system employs YOLOv8 for precise detection and locali…

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