# Pneumonia detection on x-ray image using improved depthwise separable convolutional neural networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/pneumonia-detection-on-x-ray-image-using-improved-depthwise-separable/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Islam Nur Alam,Ghinaa Zain Nabiilah,Erna Fransisca Angela Sihotang,Bakti Amirul Jabar |
| Citations | 1 |
| DOI | 10.11591/ijai.v13.i4.pp4169-4177 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://ijai.iaescore.com/index.php/IJAI/article/download/24614/14223 |
| OpenAlex ID | https://openalex.org/W4403209766 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Islam Nur Alam](https://scholariq.org/researchers/islam-nur-alam/)

## Paper journal

- [IAES International Journal of Artificial Intelligence](https://scholariq.org/journals/iaes-international-journal-of-artificial-intelligence/)

## 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/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.