# Comparative Study Between CNN, VGG16 and DenseNet121 on Classifying COVID, Pneumonia and Healthy X-Ray Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/comparative-study-between-cnn-vgg16-and-densenet121-on-classifying-covid/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Marco Sebastian Vizñay Cabrera,Syed Ghazi Abbas,Raja Hashim Ali,Talha Ali Khan,Shan Faiz |
| Citations | 1 |
| DOI | 10.1109/inmic65900.2025.11348358 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7125806040 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Raja Hashim Ali](https://scholariq.org/researchers/raja-hashim-ali/)

## 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/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Face recognition and analysis](https://scholariq.org/topics/face-recognition-and-analysis/)

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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.