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Updated: Feb 1, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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綿実の水分含有量予測のための、ハイパースペクトルイメージングと機械学習を用いた迅速・非破壊的予測：MoistureVision

Hao Li1, Qiao Liu2, Zhiguo Han3

  • 1College of Mechanical and Electrical Engineering, Shihezi University, ShiHezi 832003, China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|January 30, 2026
PubMed
まとめ

機械学習とハイパースペクトルイメージングは、綿実の水分含有量を正確に予測するために使用されます。Savitzky-Golay-LASSO-Multiple Linear Regressionモデルは、種子の品質評価のための迅速かつ非破壊的なソリューションを提供します。

キーワード:
綿実ハイパースペクトルイメージング機械学習水分含有量非破壊検出

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