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Updated: Jul 16, 2025

Deep Neural Networks for Image-Based Dietary Assessment
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基于深度学习的近红外高光谱成像用于食品营养估计

Tianhao Li1,2, Wensong Wei3,4, Shujuan Xing3,4

  • 1The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.

Foods (Basel, Switzerland)
|September 9, 2023
PubMed
概括

这项研究将深度学习与近红外高光谱成像 (NIR-HSI) 集成在一起,以准确估计食物营养. 该OptmWave方法同时模拟光谱数据并选择最佳波长,改进营养分析.

关键词:
深度学习是一种深度学习.食品营养估计 食品营养估计接近红外的高光谱成像技术波长选择波长的选择.

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