# An Improved Machine Learnings Diagnosis Technique for COVID-19 Pandemic Using Chest X-ray Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-improved-machine-learnings-diagnosis-technique-for-covid-19-pandemic-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Joseph Bamidele Awotunde,Sunday Adeola Ajagbe,Matthew Abiola Oladipupo,J. A. Awokola,Olakunle Sunday Afolabi,Timothy O. Mathew,Yetunde J. Oguns |
| Citations | 28 |
| DOI | 10.1007/978-3-030-89654-6_23 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3209917402 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Matthew Abiola Oladipupo](https://scholariq.org/researchers/matthew-abiola-oladipupo/)

## Paper journal

- [Communications in computer and information science](https://scholariq.org/journals/communications-in-computer-and-information-science/)

## 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.