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マルチシーケンスの磁気共鳴画像放射学に基づく解釈可能なモデルで,肝細胞癌の病理的なグレードを予測する

Yue Shi1, Peng Zhang1, Li Li2

  • 1Department of Radiology, Interventional Medical Center, Science and Technology Innovation Center, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China.

World journal of radiology
|January 2, 2026
PubMed
まとめ

No abstract available in PubMed .

キーワード:
肝細胞がん炎症マーカー機械学習磁気共鳴画像病理学的分類ラジオミックモデルSHAPLEY アディティブエクスプラネーションアルゴリズム

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Magnetic Resonance Imaging01:24

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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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