Machine learning with convolutional neural networks for clinical cardiologists

被引:9
|
作者
Howard, James Philip [1 ]
Francis, Darrel P. [2 ]
机构
[1] Imperial Coll London, Natl Heart & Lung Inst, London W12 0NN, England
[2] Imperial Coll London, Cardiol, London, England
基金
英国惠康基金;
关键词
CLASSIFICATION;
D O I
10.1136/heartjnl-2020-318686
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
[No abstract available]
引用
收藏
页码:973 / 981
页数:9
相关论文
共 50 条
  • [31] Learning to Generate Chairs with Convolutional Neural Networks
    Dosovitskiy, Alexey
    Springenberg, Jost Tobias
    Brox, Thomas
    2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2015, : 1538 - 1546
  • [32] Learning to Binarize Convolutional Neural Networks with Adaptive Neural Encoder
    Zhang, Shuai
    Ge, Fangyuan
    Ding, Rui
    Liu, Haijun
    Zhou, Xichuan
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
  • [33] Machine learning concepts applied to oral pathology and oral medicine: A convolutional neural networks' approach
    Damaceno Araujo, Anna Luiza
    da Silva, Viviane Mariano
    Kudo, Maira Suzuka
    Carlos de Souza, Eduardo Santos
    Saldivia-Siracusa, Cristina
    Giraldo-Roldan, Daniela
    Lopes, Marcio Ajudarte
    Vargas, Pablo Agustin
    Khurram, Syed Ali
    Pearson, Alexander T.
    Kowalski, Luiz Paulo
    de Leon Ferreira de Carvalho, Andre Carlos Ponce
    Santos-Silva, Alan Roger
    Moraes, Matheus Cardoso
    JOURNAL OF ORAL PATHOLOGY & MEDICINE, 2023, 52 (02) : 109 - 118
  • [34] Beyond convolutional neural networks computing: New trends on ISSCC 2023 machine learning chips
    Mu, Chen
    Zheng, Jiapei
    Chen, Chixiao
    JOURNAL OF SEMICONDUCTORS, 2023, 44 (05)
  • [35] The Art of the Stroke: Machine Learning Insights into Cricket Shot Execution with Convolutional Neural Networks And SVM
    Mehta, Shiva
    Kumar, Ashok
    Dogra, Ayush
    Hariharan, Shanmugasundaram
    2024 2ND WORLD CONFERENCE ON COMMUNICATION & COMPUTING, WCONF 2024, 2024,
  • [36] Machine Learning-Based Interpretation of Optical Properties of Colloidal Gold with Convolutional Neural Networks
    Bilen, Frida
    Ekborg-Tanner, Pernilla
    Balzano, Antoine
    Ughetto, Michael
    da Silva, Robson Rosa
    Schomaker, Hannes
    Erhart, Paul
    Moth-Poulsen, Kasper
    Bordes, Romain
    JOURNAL OF PHYSICAL CHEMISTRY C, 2024, 128 (33): : 13909 - 13916
  • [37] A STANDARDIZED REPRESENTATION OF CONVOLUTIONAL NEURAL NETWORKS FOR RELIABLE DEPLOYMENT OF MACHINE LEARNING MODELS IN THE MANUFACTURING INDUSTRY
    Ferguson, Max
    Jeong, Seongwoon
    Law, Kincho H.
    Levitan, Svetlana
    Narayanan, Anantha
    Burkhardt, Rainer
    Jena, Tridivesh
    Lee, Yung-Tsun Tina
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2019, VOL 1, 2020,
  • [38] A Machine Learning Method for Detection of Surface Defects on Ceramic Tiles Using Convolutional Neural Networks
    Stephen, Okeke
    Maduh, Uchenna Joseph
    Sain, Mangal
    ELECTRONICS, 2022, 11 (01)
  • [39] Machine Learning Applications of Convolutional Neural Networks and Unet Architecture to Predict and Classify Demosponge Behavior
    Harrison, Dominica
    De Leo, Fabio Cabrera
    Gallin, Warren J.
    Mir, Farin
    Marini, Simone
    Leys, Sally P.
    WATER, 2021, 13 (18)
  • [40] Beyond convolutional neural networks computing: New trends on ISSCC 2023 machine learning chips
    Chen Mu
    Jiapei Zheng
    Chixiao Chen
    Journal of Semiconductors, 2023, 44 (05) : 16 - 19