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Updated: May 7, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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评估基于深度学习的图像质量增强,用于基于 BGO 的 GE omni legend PET/CT

Meysam Dadgar1, Amaryllis Verstraete2, Jens Maebe2

  • 1Department of Electronics and Information Systems, Medical Image and Signal Processing, Ghent University, C. Heymanslaan 10, Ghent, Belgium. meysam.dadgar@ugent.be.

EJNMMI physics
|October 16, 2024
PubMed
概括

人工智能 (AI) 图像重建通过提高图像质量和减少噪音来增强PET/CT扫描. 这种人工智能集成为更快的扫描和更好的病变检测提供了潜力.

关键词:
背景变化的背景变化.相反的复原系数复原系数.与噪声比的对比比.深度学习是一种深度学习.通用电气的奥姆尼传奇飞行时间 飞行时间

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