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心臓MRI画像の非対称的注意力メカニズムを用いた拡散モデルベースの増幅

Mertcan Özdemir1, Osman Eroğul1

  • 1Department of Biomedical Engineering, Faculty of Engineering, TOBB University of Economics and Technology, Ankara 06510, Türkiye.

Diagnostics (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

この研究は,合成心筋MRI画像を生成するための拡散モデルを導入し,データ不足を克服します. AIによって生成された画像は 高い解剖学的精度を示し 専門家による評価のための実際のスキャンと ほぼ区別がつかないようにしています

キーワード:
注目メカニズム心臓MRIデータ増強ディープラーニング拡散モデルジェネラティブ・モデル医学画像合成医学画像検査

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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