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English(EN) FU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image Segmentation

FU-Mamba框架提升口腔扫描图像分割精度

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了FU-Mamba，一个旨在改进数字牙科应用中口腔扫描图像分割的新型框架。该框架通过引入一种保留空间连续性的动态扫描方法和一个增强频率域的模块来提高对成像伪影的鲁棒性，从而解决了现有视觉状态空间模型的局限性。实验表明，FU-Mamba在牙科分割数据集上实现了平均交并比（mIoU）1.1%的提升，提高了诊断和治疗规划的准确性。 AI

影响 通过增强的图像分割，提高了牙科诊断和治疗规划的准确性。

排序理由 详细介绍图像分割新框架的学术论文。[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 →

FU-Mamba框架提升口腔扫描图像分割精度

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详细介绍图像分割新框架的学术论文。[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) · Xinxin Zhao, Jinpeng Ye, Bo Wei, Liqin Wu, Mahmoud Hassaballah, Karen Egiazarian, Aura Conci, Victor Hugo C. de Albuquerque, Abdulkadir Sengur, Leszek Rutkowski, Yan Tian ·

    FU-Mamba：一种用于口腔扫描图像分割的增强频率动态扫描框架

    arXiv:2608.26607v1 Announce Type: new Abstract: Oralscan image segmentation is essential for computer-aided diagnosis and treatment planning in digital dentistry. However, existing visual state space models (SSMs) often rely on manually designed scanning orders to flatten image p…

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