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Updated: Jan 20, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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原発性後腹膜肉腫における局所再発なし生存期間を予測するCTベースの深層学習モデル

Yaru Ren1, Ziyang Xue2, Ting Liang3

  • 1Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi An, Shaanxi, China.

Frontiers in medicine
|January 19, 2026
PubMed
まとめ

CTスキャンを用いた深層学習（DL）モデルは、後腹膜肉腫（RPS）患者の局所再発なし生存期間（LRFS）を正確に予測します。このAIツールは、RPSのリスク層別化と個別化された治療戦略を支援します。

キーワード:
深層学習局所再発予後予測画像解析後腹膜肉腫

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