Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network |
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| Affiliation: | 1. Department of Cardiovascular Sciences, University of Leicester, LE1 7RH, UK;2. Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia;3. School of Architecture Building and Civil engineering, Loughborough University, Loughborough LE11 3TU, UK;4. Department of Biomedical Engineering, Kalasalingam Academy of Research and Education, Srivilliputhur post, Krishnankoil 626 126, Tamil Nadu, India;5. Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain;6. Department of Psychiatry, University of Cambridge, Cambridge CB21TN, UK;7. Department of Medical Imaging, The Fourth People''s Hospital of Huai''an, Huai''an, Jiangsu Province, 223002, China;8. School of Informatics, University of Leicester, Leicester LE1 7RH, UK |
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| Abstract: | (Aim) COVID-19 is an infectious disease spreading to the world this year. In this study, we plan to develop an artificial intelligence based tool to diagnose on chest CT images.(Method) On one hand, we extract features from a self-created convolutional neural network (CNN) to learn individual image-level representations. The proposed CNN employed several new techniques such as rank-based average pooling and multiple-way data augmentation. On the other hand, relation-aware representations were learnt from graph convolutional network (GCN). Deep feature fusion (DFF) was developed in this work to fuse individual image-level features and relation-aware features from both GCN and CNN, respectively. The best model was named as FGCNet.(Results) The experiment first chose the best model from eight proposed network models, and then compared it with 15 state-of-the-art approaches.(Conclusion) The proposed FGCNet model is effective and gives better performance than all 15 state-of-the-art methods. Thus, our proposed FGCNet model can assist radiologists to rapidly detect COVID-19 from chest CT images. |
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