VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 Detection
Author:
Affiliation:
1. School of Computer Science, The University of Sydney,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10029378/10029381/10031251.pdf?arnumber=10031251
Reference20 articles.
1. An Ensemble of Global and Local-Attention Based Convolutional Neural Networks for COVID-19 Diagnosis on Chest X-ray Images
2. Cord-19: The covid-19 open research dataset;wang;ArXiv,2020
3. Cascaded deep learning classifiers for computer-aided diagnosis of COVID-19 and pneumonia diseases in X-ray scans
4. Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
5. Unsupervised Domain-Adaptation-Based Tensor Feature Learning With Structure Preservation
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