# Detection of incidental findings on chest CT scans in patients with suspected COVID-19 pneumonia

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detection-of-incidental-findings-on-chest-ct-scans-in-patients-with-suspected/

## Facts

| Field | Value |
| --- | --- |
| Author Names | İlyas Dündar,Sercan Özkaçmaz,Fatma Durmaz,Leyla Turgut Çoban,Gökhan Aygün,Ramazan Yıldız,Muhammed Bilal Akıncı,Ensar Türko,Saim Türkoğlu |
| Citations | 10 |
| DOI | 10.5505/ejm.2021.26428 |
| Fields | Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.5505/ejm.2021.26428 |
| OpenAlex ID | https://openalex.org/W3209810939 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Saim Türkoğlu](https://scholariq.org/researchers/saim-turkoglu/)

## Paper journal

- [Eastern Journal Of Medicine](https://scholariq.org/journals/eastern-journal-of-medicine/)

## 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/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)

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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.