Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients
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This systematic review of current literature on COVID-19 provides insight into the initial and follow-up CT characteristics of the disease.
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Transfer learning uses a trained model from a large dataset such as ImageNet and modifies the Softmax and classification layer of the pre-trained network.
“The concept of transfer learning uses the trained model from large dataset such as ImageNet [57] and modify the Softmax and classification layer of the pre-trained networks.”
From Can AI help in screening viral and COVID-19 pneumonia? (2020) · cites this paper as [57]
Transfer learning can be used in training deep CNNs where the dataset is not large.
“Transfer learning can be used in the training of deep CNNs where the dataset is not large.”
From Can AI help in screening viral and COVID-19 pneumonia? (2020) · cites this paper as [57]
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- Authors
- Salehi, S., Abedi, A., Balakrishnan, S., & Gholamrezanezhad, A.
- Affiliations
- University of Southern California (US)
- Venue
- American Journal of Roentgenology
- Publisher
- American Roentgen Ray Society
- Published
- 2020-07
- Volume
- 215
- Issue
- 1
- Pages
- 87-93
- ISSN
- 0002-9580 (ISSN-L)
- 0361-803X
- 1546-3141
- OpenAlex
- W3012211282
- Cited by
- 1,600
- References
- 31
- Citations by year
- 2026: 12 · 2025: 31 · 2024: 65 · 2023: 125 · 2022: 268 · 2021: 512 · 2020: 583 · 2018: 1
- FWCI
- 17.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- American Journal of Roentgenology (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › COVID-19 diagnosis using AI
- Health Sciences › Medicine › Neurology › Long-Term Effects of COVID-19
- Keywords
- COVID-19 pandemic, chest CT, computed tomography findings, COVID-19 pneumonia, follow-up imaging
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Humans, Lung, Pneumonia, Viral, Tomography, X-Ray Computed, Coronavirus Infections, Pandemics
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