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Updated: Feb 13, 2026

Deep Neural Networks for Image-Based Dietary Assessment
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超音波画像を用いた回転性ニューラルネットワークモデルに基づく,胆囊の腫瘍性ポリープの術前予測モデルの開発

Yongyi Zhu1, Yi Lu2, Qingjin Zeng1

  • 1Department of Ultrasound, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Translational gastroenterology and hepatology
|February 12, 2026
PubMed
まとめ

コンヴォルションニューラルネットワーク (CNN) モデルは,超音波画像を使用して,胆管内の腫瘍性ポリプを正確に予測します. このAIツールは,胆管のポリポイド病変 (PLG) の適切な治療法を選択するのに役立ちます.

キーワード:
胆囊のポリポイド病変 (PLG)コンヴォルションニューラルネットワーク (CNN)予測モデルの予測モデルです.超音波の特徴 超音波の特徴

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