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Updated: May 5, 2026

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

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ダブルSGANモデルに基づく拡張胸部X線画像による肺炎検出

Zhijing Xu1, Haoyang Zhang2

  • 1College of Information Engineering, Shanghai Maritime University, Shanghai, 201306, China.

Scientific reports
|February 19, 2026
PubMed
まとめ

この研究では,胸部X線で肺炎を検出するためのディープラーニングシステムを導入し,不均衡なデータセットの精度を向上させます. 新規のDouble SGANとResNet18-SAモデルは,小児肺画像の分類において高い性能を達成しています.

キーワード:
胸部X線写真 胸部X線写真ディープラーニングとは,ディープラーニングです.ジェネラティブ・アドバダリアル・ネットワーク.画像の分類 画像の分類スペクトルの正規化.

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