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Updated: Sep 10, 2025

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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効率的なIVUSの描写のためのIoU損失を持つ難易度認識結合コントール回帰ネットワーク

Yuan Yang1, Xu Yu1, Wei Yu2

  • 1School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China.

Artificial intelligence in medicine
|August 21, 2025
PubMed
まとめ

この研究では,血管内超音波 (IVUS) 画像撮影のための新しいコントール回帰法が導入され,ルメンと外部の弾性層の描写を改善します. このアプローチは高精度で 解剖学的な妥当性があり 芸術品を含む画像でも使えます

キーワード:
コントールの回帰ディープラーニング血管内超音波検査セグメンテーション

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