# A Deep Learning Framework for Coronavirus Disease (COVID-19) Detection in X-Ray Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-learning-framework-for-coronavirus-disease-covid-19-detection-in-x-ray/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tayyip Özcan |
| Citations | 32 |
| DOI | 10.21203/rs.3.rs-26500/v1 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.researchsquare.com/article/rs-26500/latest.pdf |
| OpenAlex ID | https://openalex.org/W3116242983 |
| Type | preprint |
| Year | 2020 |

## Paper authors

- [Tayyip Özcan](https://scholariq.org/researchers/tayyip-ozcan/)

## 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/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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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.