Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays Article Swipe
Nripendra Narayan Das
,
Naresh Kumar
,
Manjit Kaur
,
Vijay Kumar
,
Dilbag Singh
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.irbm.2020.07.001
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.irbm.2020.07.001
Related Topics
Concepts
Coronavirus disease 2019 (COVID-19)
Transfer of learning
Artificial intelligence
Computer science
Deep learning
Pattern recognition (psychology)
Medicine
Pathology
Infectious disease (medical specialty)
Disease
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.irbm.2020.07.001
- OA Status
- green
- Cited By
- 342
- References
- 59
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3039563973
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3039563973Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.irbm.2020.07.001Digital Object Identifier
- Title
-
Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-raysWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-07-03Full publication date if available
- Authors
-
Nripendra Narayan Das, Naresh Kumar, Manjit Kaur, Vijay Kumar, Dilbag SinghList of authors in order
- Landing page
-
https://doi.org/10.1016/j.irbm.2020.07.001Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/7333623Direct OA link when available
- Concepts
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Coronavirus disease 2019 (COVID-19), Transfer of learning, Artificial intelligence, Computer science, Deep learning, Pattern recognition (psychology), Medicine, Pathology, Infectious disease (medical specialty), DiseaseTop concepts (fields/topics) attached by OpenAlex
- Cited by
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342Total citation count in OpenAlex
- Citations by year (recent)
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2025: 22, 2024: 48, 2023: 64, 2022: 83, 2021: 101Per-year citation counts (last 5 years)
- References (count)
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59Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W3016685184, https://openalex.org/W3021917713, https://openalex.org/W3020257030, https://openalex.org/W3012817508, https://openalex.org/W6775767911, https://openalex.org/W3006110666, https://openalex.org/W6774326982, https://openalex.org/W6761285070, https://openalex.org/W3017403618, https://openalex.org/W6774964072, https://openalex.org/W6776205382, https://openalex.org/W6775771987, https://openalex.org/W3017855299, https://openalex.org/W3022719712, https://openalex.org/W3016488464, https://openalex.org/W3025953162, https://openalex.org/W2921528463, https://openalex.org/W2942810189, https://openalex.org/W3003617865, https://openalex.org/W6728184133, https://openalex.org/W2890489646, https://openalex.org/W2917967053, https://openalex.org/W2973638934, https://openalex.org/W3006583578, https://openalex.org/W2990114939, https://openalex.org/W3006771233, https://openalex.org/W2883627447, https://openalex.org/W2898362616, https://openalex.org/W2753793172, https://openalex.org/W2792399781, https://openalex.org/W6769593930, https://openalex.org/W2796426886, https://openalex.org/W2952201814, https://openalex.org/W2948260310, https://openalex.org/W2926305097, https://openalex.org/W3014322576, https://openalex.org/W4234552385, https://openalex.org/W3010702679, https://openalex.org/W3014890122, https://openalex.org/W3006082171, https://openalex.org/W3016142775, https://openalex.org/W3013277995, https://openalex.org/W3034393064, https://openalex.org/W3013099522, https://openalex.org/W3021085078, https://openalex.org/W3162351260, https://openalex.org/W3083753334, https://openalex.org/W2531409750, https://openalex.org/W2983610293, https://openalex.org/W3013601031, https://openalex.org/W3013042142, https://openalex.org/W3021137017, https://openalex.org/W3018996808, https://openalex.org/W3013019084, https://openalex.org/W2992150647, https://openalex.org/W3105081694, https://openalex.org/W3016171549, https://openalex.org/W3024784009, https://openalex.org/W3014206051 |
| referenced_works_count | 59 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| corresponding_author_ids | https://openalex.org/A5101898959 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I73779912 |
| citation_normalized_percentile.value | 0.99699982 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |