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English(EN) Automated Prediction of Postoperative Pancreatic Fistula Using Preoperative Computed Tomography

深度学习通过CT扫描预测手术风险

研究人员开发了一个深度学习流程,利用术前CT扫描预测术后胰腺瘘(POPF)。该系统自动化了从胰腺分割到分类的过程,旨在评估和分层POPF风险。使用各种3D卷积神经网络架构进行的评估显示出有希望的预测性能,为胰腺手术的术前决策提供了有价值的工具。 AI

影响 这项研究为外科医生提供了一个潜在的新工具,以便在复杂手术前更好地评估患者风险。

排序理由 该集群包含一篇描述新研究方法和模型的学术论文。

在 arXiv cs.LG 阅读 →

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Ashok Choudhary, Chris Varghese, Leo Y. Li-Han, Frank G. Lee, Ellen L. Larson, Elizabeth B. Habermann, Cornelius A. Thiels, Hojjat Salehinejad ·

    Automated Prediction of Postoperative Pancreatic Fistula Using Preoperative Computed Tomography

    arXiv:2605.31539v1 Announce Type: cross Abstract: Postoperative pancreatic fistula (POPF) is a serious complication after pancreatic resection, increasing morbidity, hospital stay, and healthcare costs. We present an automatic, end-to-end deep learning pipeline-from pancreatic se…

  2. arXiv cs.LG TIER_1 English(EN) · Hojjat Salehinejad ·

    利用术前计算机断层扫描自动预测术后胰腺瘘

    Postoperative pancreatic fistula (POPF) is a serious complication after pancreatic resection, increasing morbidity, hospital stay, and healthcare costs. We present an automatic, end-to-end deep learning pipeline-from pancreatic segmentation to classification-for preoperative POPF…