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Updated: Feb 17, 2026

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

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画像生成と超解像度の潜在拡散モデルにおけるコンディショニングの重要性

Dayvison Gomes de Oliveira1, Franklin Anthony Ramos Coêlho1, Thaís Gaudencio do Rêgo1

  • 1Federal University of Paraíba, Center of Informatics, João Pessoa, Brazil.

Journal of medical imaging (Bellingham, Wash.)
|February 16, 2026
PubMed
まとめ

潜在的拡散モデル (LDM) は,光子カウントの胸部CT画像を生成し,強化することができます. これらのモデルに解剖学的ラベルを付けることで,診断画像の構造的正確性と臨床的関連性が向上します.

キーワード:
人工知能 (AI) とは,人工知能 (AI) に関するコンピュータートモグラフィーです.イメージ生成 イメージ生成超高解像度の画像潜在的拡散モデル

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