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Updated: Feb 14, 2026

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
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针对多器官细分的人口意识深度学习:缓解CT图像中的性别和年龄偏见

Junqiang Ma1,2, Tao Tan1,2,3, Dengqiang Jia1,2

  • 1Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.

Medical physics
|February 13, 2026
PubMed
概括

这项研究引入了一种人口意识深度学习模型,DA-Net,通过减少年龄和性别偏见来改善CT扫描中的器官细分. DA-Net提高了准确性,特别是在性别特定的器官,促进医学成像中更公平的AI.

关键词:
年龄偏差偏见.计算机断层扫描 (CT) 是一种计算机断层扫描.深度学习是一种深度学习.性别偏见是性别偏见.多器官细分化的多器官细分.

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