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

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第一作者： Shui-Hua,Wang

第一单位： School of Informatics, University of Leicester, Leicester, LE1 7RH, UK.

作者： Shui-Hua,Wang ^[1] ; Kaihong,Wu ^[2] ; Tianshu,Chu ^[3] ; Steven L,Fernandes ^[4] ; Qinghua,Zhou ^[1] ; Yu-Dong,Zhang ^[5] ; Jian,Sun ^[2]

作者单位： School of Informatics, University of Leicester, Leicester, LE1 7RH, UK. ^[1] The Affiliated Children's Hospital of Nanjing Medical University, Nanjing, China. ^[2] Nanjing Yirongda Institute of Intelligent Medicine and Additive Manufacturing, Nanjing, China. ^[3] Department of Computer Science, Design & Journalism, Creighton University, Omaha, Nebraska, USA. ^[4] School of Informatics, University of Leicester, Leicester, LE1 7RH, UK.;Nanjing Yirongda Institute of Intelligent Medicine and Additive Manufacturing, Nanjing, China. ^[5]

关键词 Grad-CAM Tetralogy of Fallot artificial intelligence computed tomography convolutional neural network cross-validation deep learning deep neural network machine learning multiple-way data augmentation stochastic pooling structural optimization

DOI 10.1155/2021/5792975

PMID 35573891

发布时间 2025-05-30

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Wireless communications & mobile computing

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

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

Wireless communications & mobile computing

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