A Multicentre Comparative Analysis of Radiomics, Deep-learning, and Fusion Models for Predicting Postpartum Hemorrhage.

Abstract

Authors

• Wenzhe Zhang
  Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China (W.Z., X.Z., L.L., M.C., H.T., N.R., X.Z.).
• Xin Zhao
  Florida International University.
• Lingsong Meng
  Department of Medical Technology, Shangqiu Medical College, Shangqiu, China (L.M.).
• Lin Lu
  School of Economics and Management, Guangxi Normal University, Guilin, China.
• Jinxia Guo
  General Electric (GE) Healthcare, MR Research China, Beijing, China (J.G.).
• Meiying Cheng
  Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
• Hui Tian
  School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
• Nana Ren
  Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China (W.Z., X.Z., L.L., M.C., H.T., N.R., X.Z.).
• Jie Yin
• Xiaoan Zhang
  Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China (Y.S., X.Z., X.Z., C.W., Z.Y., Z.F., X.Z.); Henan International Joint Laboratory of Neuroimaging, Zhengzhou, 450052, China (Y.S., X.Z., X.Z., C.W., Z.Y., Z.F., X.Z.). Electronic address: zxa@zzu.edu.cn.

Keywords

No keywords available for this article.

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