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Updated: Sep 16, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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Published on: December 19, 2020

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有效的稀疏视图医学图像分类用于低辐射和快速COVID-19诊断

Seunghyun Gwak1, Sooyoung Yang2, Heawon Jeong1

  • 1Computational Science & Technology, Seoul National University, 1 Gwanak-ro, Seoul, Gwanak-gu 08826 South Korea.

Biomedical engineering letters
|July 7, 2025
PubMed
概括

一个新的深度学习模型,投影智能面具自动编码器 (ProMAE),从稀疏视图CT扫描中准确诊断COVID-19. 这种方法绕过了图像重建,即使使用最小的数据,也能提供快速可靠的结果.

关键词:
诊断COVID-19的诊断结果是什么计算机断层扫描 (CT) 是一种计算机断层扫描.图像的分类 图像的分类蒙面的自动编码器稀疏视图的阴影图 (sinogram) 是一个稀疏视图.

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