SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot recognition.

Journal: Wireless communications & mobile computing
Published Date: Jul 1, 2021

Abstract

AIM: This study proposes a new artificial intelligence model based on cardiovascular computed tomography for more efficient and precise recognition of Tetralogy of Fallot (TOF).

Authors

  • Shui-Hua Wang
    School of Mathematics and Actuarial Science, University of Leicester, LE1 7RH, United Kingdom.
  • Kaihong Wu
    The Affiliated Children's Hospital of Nanjing Medical University, Nanjing, China.
  • Tianshu Chu
    Nanjing Yirongda Institute of Intelligent Medicine and Additive Manufacturing, Nanjing, China.
  • Steven L Fernandes
    Department of Computer Science, Design & Journalism, Creighton University, Omaha, Nebraska, USA.
  • Qinghua Zhou
    School of Informatics, University of Leicester, Leicester, LE1 7RH, UK.
  • Yu-Dong Zhang
    University of Leicester, Leicester, United Kingdom.
  • Jian Sun
    Department Of Computer Science, University of Denver, 2155 E Wesley Ave, Denver, Colorado, 80210, United States of America.

Keywords

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