# Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/classification-of-the-covid-19-infected-patients-using-densenet201-based-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Aayush Jaiswal,Neha Gianchandani,Dilbag Singh,Vijay Kumar,Manjit Kaur |
| Citations | 619 |
| DOI | 10.1080/07391102.2020.1788642 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3040660552 |
| PMID | 32619398 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Vijay Kumar](https://scholariq.org/researchers/vijay-kumar/)

## 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.