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MFR-UNet：マルチスケール特徴量洗練を備えた医用画像セグメンテーションネットワーク

Shaoqiang Wang1, Guiling Shi1, Shuo Sun1

  • 1Qingdao University of Technology, Qingdao, Shandong, China.

IET systems biology
|December 24, 2025
PubMed
まとめ

この研究では、医用画像セグメンテーションのための新しいディープラーニングモデルであるMFR-UNetを紹介します。マルチレベルの特徴量を洗練し、クロスレベルの情報を効果的に統合することにより、セグメンテーションの精度と境界の鮮明さを大幅に向上させます。

キーワード:
特徴量融合大きな受容野医用画像セグメンテーションウェーブレット

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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...