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English(EN) Comparing Commercial Depth Sensor Accuracy for Medical Applications

Zivid 2M+ 60 在医疗精度测试中领先商用深度传感器

一篇新的研究论文比较了四种商用深度传感器在医疗应用中的精度。该研究评估了立体、结构光和飞行时间传感器在各种样本上的性能,包括骨骼、组织和模型,以评估在同质和镜面等具有挑战性表面下的性能。Zivid 2M+ 60 传感器在所有测试对象和指标上均表现出最佳的整体精度。 AI

影响 这项研究可以为AI驱动的医学成像和手术机器人选择深度传感硬件提供参考。

排序理由 该集群包含一篇在arXiv上发表的详细介绍实验结果的研究论文。

在 arXiv cs.CV 阅读 →

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Zivid 2M+ 60 在医疗精度测试中领先商用深度传感器

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该集群包含一篇在arXiv上发表的详细介绍实验结果的研究论文。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Pit Henrich, Maximilian Weiherer, Franziska Hansen, Bernhard Egger, Franziska Mathis-Ullrich ·

    比较商业深度传感器在医疗应用中的准确性

    arXiv:2606.13028v1 Announce Type: cross Abstract: Depth estimation has numerous medical and surgical applications. We benchmark four depth sensors on a porcine bone specimen, a porcine belly specimen, and a silicone kidney phantom using stylus-sampled references. These objects co…

  2. arXiv cs.CV TIER_1 English(EN) · Franziska Mathis-Ullrich ·

    比较商业深度传感器在医疗应用中的准确性

    Depth estimation has numerous medical and surgical applications. We benchmark four depth sensors on a porcine bone specimen, a porcine belly specimen, and a silicone kidney phantom using stylus-sampled references. These objects contain several real-world challenges, including hom…