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Updated: May 10, 2025

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
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使用卷积神经网络对同胞性和分类运行的可视化

Siroj Bakoev1,2,3, Maria Kolosova1, Timofey Romanets1

  • 1Faculty of Biotechnology, Don State Agrarian University, Persianovsky 346493, Russia.

Biology
|April 26, 2025
PubMed
概括

这项研究可视化了使用卷积神经网络 (CNN) 的同卵性 (ROH) 运行,以100%的准确性分类猪品种并识别肢体缺陷的动物. 这种新的ROH分析方法对动物育种和医学研究有很大的前景.

关键词:
养殖品种 养殖品种卷积神经网络 (CNN) 是一种神经网络.深度学习是一种深度学习.疾病 疾病 疾病 疾病遗传架构 遗传建筑 遗传架构图像分析图像分析肢体缺陷 肢体缺陷 肢体缺陷猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪同性 (ROH) 的运行.性格特征 性格特征 性格特征

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