# Detection of Coronavirus Disease (COVID-19) Based on Deep Features

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detection-of-coronavirus-disease-covid-19-based-on-deep-features/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Prabira Kumar Sethy,Santi Kumari Behera |
| Citations | 754 |
| DOI | 10.20944/preprints202003.0300.v1 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://doi.org/10.20944/preprints202003.0300.v1 |
| OpenAlex ID | https://openalex.org/W3010702679 |
| Type | preprint |
| Year | 2020 |

## Paper authors

- [Prabira Kumar Sethy](https://scholariq.org/researchers/prabira-kumar-sethy/)
- [Santi Kumari Behera](https://scholariq.org/researchers/santi-kumari-behera/)

## Paper journal

- [Preprints.org](https://scholariq.org/journals/preprints-org/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.