# A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-new-approach-to-covid-19-detection-from-x-ray-images-using-angle/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yılmaz Kaya,Züleyha Yiner,Mahmut Kaya,Fatma Kuncan |
| Citations | 32 |
| DOI | 10.1088/1361-6501/ac8ca4 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4293248203 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Mahmut Kaya](https://scholariq.org/researchers/mahmut-kaya/)

## 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/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)

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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.