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Updated: Sep 9, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
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通过对抗性域适应来解决光学和生物变异性的食物传播细菌分类的AI显微镜的改进

Siddhartha Bhattacharya1,2, Aarham Wasit1,2, J Mason Earles3,4

  • 1Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI, United States.

Frontiers in artificial intelligence
|August 28, 2025
PubMed
概括

域适应技术增强了细菌分类的AI显微镜,在各种条件下提高了准确性. 这种方法使得人工智能显微镜在资源有限的环境中更可靠.

关键词:
AI显微镜细菌分类深度学习域名调整食物中的细菌

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