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English(EN) Novel 3D Binary Indexed Tree for Volume Computation of 3D Reconstructed Models from Volumetric Data

撤稿论文提出用于医学成像体积计算的新型三维BIT

一篇研究论文介绍了一种用于精确计算医学成像数据(如CT和MR扫描)三维重建模型体积的新型算法。该方法结合了微积分、Marching Cube算法和二叉索引树,以实现高效处理和查询。尽管该方法在各种形状和解剖结构上进行了测试,但该论文后来被作者撤回。 AI

影响 这篇研究论文虽然被撤稿,但探索了医学成像三维重建和体积计算的新型算法方法。

排序理由 这是一篇描述三维体积计算新型算法的研究论文,该论文随后被撤稿。

在 arXiv cs.CV 阅读 →

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撤稿论文提出用于医学成像体积计算的新型三维BIT

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这是一篇描述三维体积计算新型算法的研究论文,该论文随后被撤稿。
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Quoc-Bao Nguyen-Le, Tuan-Hy Le, Anh-Triet Do ·

    用于三维重建模型体积计算的新型三维二进制索引树

    arXiv:2412.10441v2 Announce Type: replace-cross Abstract: In the burgeoning field of medical imaging, precise computation of 3D volume holds a significant importance for subsequent qualitative analysis of 3D reconstructed objects. Combining multivariate calculus, marching cube al…