Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs
Published 2021 View Full Article
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Title
Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs
Authors
Keywords
COVID-19, Chest CT findings, Deep learning, Image processing, Medical decision support system
Journal
Biomedical Signal Processing and Control
Volume 71, Issue -, Pages 103128
Publisher
Elsevier BV
Online
2021-09-02
DOI
10.1016/j.bspc.2021.103128
References
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- (2020) Heshui Shi et al. LANCET INFECTIOUS DISEASES
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- (2020) Ranjan K. Mohapatra et al. Chemical Biology & Drug Design
- COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
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- (2020) Muammer Turkoglu APPLIED INTELLIGENCE
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- (2018) Ke Zhang et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
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- (2012) RS Rodrigues et al. Clinics
- CT of Viral Lower Respiratory Tract Infections in Adults: Comparison Among Viral Organisms and Between Viral and Bacterial Infections
- (2011) Wallace T. Miller et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Fleischner Society: Glossary of Terms for Thoracic Imaging
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