# Improved COVID‐19 Diagnosis Using a Hybrid Transfer Learning Model with Fuzzy Edge Detection on CT Scan Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/improved-covid-19-diagnosis-using-a-hybrid-transfer-learning-model-with-fuzzy/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hassan Salarabadi,Mohammad Saber Iraji,M. Salimi,Mehdi Zoberi |
| Citations | 5 |
| DOI | 10.1155/2024/3249929 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/2024/3249929 |
| OpenAlex ID | https://openalex.org/W4402004927 |
| Type | article |
| Year | 2024 |

## Paper authors

- [M. Salimi](https://scholariq.org/researchers/m-salimi/)

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