関連する実験動画

Updated: Feb 14, 2026

Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing
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Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing

Published on: August 1, 2025

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食品の単一カテゴリーの画像を小さなデータセットで生成するための改善された拡散モデル

Zitian Chen1,2, Zhiyong Xiao1,2, Dinghui Wu3

  • 1School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China.

Foods (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

この研究では,高精度食品画像を生成するための成分認識拡散モデル (Ingredient-Aware Diffusion Model) を導入し,コンピュータビジョンタスクのデータ不足に対処しています. この新しい枠組みは,食品分類の正確性を高め,スマートな食品システムを推進します.

キーワード:
拡散モデル,拡散モデル食品イメージの生成です.線形インターポレーションです.仮面のトレーニングは,仮面のトレーニングです.

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