Editorial: Advances in machine learning methods facilitating collaborative image-based decision making for neuroscience

Frontiers in Computational Neuroscience

Neuroscience

Georgios Papanastasiou¹  Guang Yang²  Heye Zhang³  Chengjia Wang⁴ 

[1] BHF Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, United Kingdom;School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom;National Heart & Lung Institute, Imperial College London, London, United Kingdom;Bioengineering Department and Imperial-X, Imperial College London, London, United Kingdom;School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China;School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom;BHF Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, United Kingdom;

关键词: machine learning;    multi-modality;    federated learning;    heterogeneous models;    dynamic convolution;    transformer;    IoT;   

DOI  :  10.3389/fncom.2023.1267489

 received in 2023-07-26, accepted in 2023-08-03,  发布年份 2023

来源: Frontiers

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Copyright © 2023 Wang, Zhang, Papanastasiou and Yang.