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Updated: Jan 20, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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一个基于CT的深度学习模型,用于预测原发性瘤中局部无复发生存率

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
概括

使用CT扫描的深度学习 (DL) 模型准确地预测 retroperitoneal 肉瘤 (RPS) 患者的局部无复发生存率 (LRFS). 这种人工智能工具有助于风险分层和个性化RPS治疗策略.

关键词:
深度学习是一种深度学习.当地复发局部复发预后 预测 预测 预测无线电学 (radiomics) 是一种无线电学.后皮质肉瘤是一种逆皮质肉瘤.

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