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多对比机器学习改善了杆菌病的诊断性能

María Díaz de León Derby1, Charles B Delahunt2, Ethan Spencer2

  • 1Department of Bioengineering, University of California, Berkeley, Berkeley, California, United States of America.

PLoS neglected tropical diseases
|August 4, 2025
PubMed
概括

使用暗场 (DF) 和明场 (BF) 成像的机器学习模型显著改善了对Schistosoma haematobium蛋的自动检测. 这种综合方法提高了对杆菌病控制工作的诊断准确性.

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