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Updated: Jan 16, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Published on: November 30, 2022

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自动化 in vivo 图像质量与放射科医生在腹部计算机断层扫描中的表现的相关性,跨越常规和深度学习重建

Mojtaba Zarei1, Francesco Ria2, Corey T Jensen3

  • 1Department of Radiology, Duke University Health System, Center for Virtual Imaging Trials and Carl E. Ravin Advanced Imaging Labs, Duke University Health System, Durham, NC.

Journal of computer assisted tomography
|January 15, 2026
PubMed
概括

一种用于评估CT图像质量的新方法,即调整检测度指数 (adj),准确地反映了放射科医生在不同的重建技术 (如过后投影 (FBP) 和深度学习 (DL)) 中的性能. 这提供了一种更可靠的方式来评估CT系统在现实世界的临床环境中的性能.

关键词:
临床CT表现的临床CT表现深度学习重建重建可检测性指数是指可检测性指数.放射科医生 性能表现

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