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先进的深度学习模型用于表型特征提取和枝种类分类,使用光子计数微型CT成像

Mengjia Xue1, Siyi Huang1, Wenting Xu2

  • 1Institute of Radiation Medicine, Fudan University, Shanghai, China.

Frontiers in plant science
|March 15, 2024
PubMed
概括

先进的光子计数微型CT和深度学习模型精确地描述了果的表型. 这种非破坏性成像方法显著改善了枝品种的识别和分类.

关键词:
深度学习是一种深度学习.李奇的表型特征 李奇的表型特征微型CT-CT可以使用.非破坏性的非破坏性.植物现象学 植物现象学

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