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Updated: Jan 23, 2026

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
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Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

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使用高光谱成像和机器学习与SHAP可解释性分析识别烟草叶疾病

Peng Luo1, Yang Yang2, Huilai Zhang1

  • 1College of Agronomy, Sichuan Agricultural University, Chengdu, China.

Frontiers in plant science
|January 22, 2026
PubMed
概括

超光谱成像 (HSI) 提供了一种新方法来检测多种烟草疾病,如棕色斑点和病毒. 一个紧的人工神经网络 (ANN) 模型有效地使用选定的波长识别疾病,使得早期诊断和改进的作物管理.

关键词:
在SHAP分析中,我们分析了SHAP.疾病分类疾病分类.超光谱成像技术的使用.机器学习是机器学习.烟草叶的疾病 烟草叶的疾病

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