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English(EN) BEAM3R: Beam's-eye-view architecture with Mamba-3 for implicit dose reconstruction

BEAM3R 使用 Mamba-3 加速辐射剂量重建

研究人员开发了 BEAM3R,一个用于放射治疗中准确快速剂量计算的新颖框架。该系统利用 Mamba-3 状态空间模型,摒弃了昂贵的 3D 卷积,采用了更高效的深度序列核心。BEAM3R 处理 2D 视线视图切片,并结合基于物理的传输条件来模拟剂量分布,在 DoseRAD2026 挑战赛上实现了高伽马通过率。该框架还包括从 MRI 数据生成合成 CT 图像的方法,尽管这会略微降低准确性。 AI

影响 引入了一种基于 Mamba-3 的新颖医学成像架构,有望提高放射治疗规划的效率和准确性。

排序理由 这是一篇详细介绍特定科学任务新颖模型架构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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BEAM3R 使用 Mamba-3 加速辐射剂量重建

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这是一篇详细介绍特定科学任务新颖模型架构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Chen Cheng, Michael Ferraro, James Grover, David E J Waddington, Emily Hewson ·

    BEAM3R:基于 Mamba-3 的视线架构用于隐式剂量重建

    arXiv:2609.04747v1 Announce Type: cross Abstract: To enable accurate and rapid photon control point and proton beamlet dose calculation in the DoseRAD2026 challenge, we present BEAM3R, a dose estimation framework operating in beam's-eye-view (BEV). Our core innovation combines a …