# A Lightweight CNN Based on Transfer Learning for COVID-19 Diagnosis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-lightweight-cnn-based-on-transfer-learning-for-covid-19-diagnosis/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xiaorui Zhang,Jie Zhou,Wei Sun,Sunil Kumar Jha |
| Citations | 102 |
| DOI | 10.32604/cmc.2022.024589 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.techscience.com/cmc/v72n1/46900/pdf |
| OpenAlex ID | https://openalex.org/W4213423983 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Wei Sun](https://scholariq.org/researchers/wei-sun/)

## Paper journal

- [Computers, materials & continua/Computers, materials & continua (Print)](https://scholariq.org/journals/computers-materials-and-continua-computers-materials-and-continua-print/)

## 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/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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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.