# Computer-aided Detection Fidelity of Pulmonary Nodules in Chest Radiograph

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/computer-aided-detection-fidelity-of-pulmonary-nodules-in-chest-radiograph/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nikolaos Dellios,Ulf Teichgraeber,Robert Chelaru,Ansgar Malich,Ismini Papageorgiou |
| Citations | 18 |
| DOI | 10.4103/jcis.jcis_75_16 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.4103/jcis.jcis_75_16 |
| OpenAlex ID | https://openalex.org/W2592684986 |
| PMID | 28299236 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Ulf Teichgraeber](https://scholariq.org/researchers/ulf-teichgraeber/)

## Paper journal

- [Journal of Clinical Imaging Science](https://scholariq.org/journals/journal-of-clinical-imaging-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/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.