# Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-model-for-detecting-2019-novel-coronavirus-pneumonia-on-high/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jun Chen,Lianlian Wu,Jun Zhang,Liang Zhang,Dexin Gong,Yilin Zhao,Qiuxiang Chen,Shulan Huang,Ming Yang,Xiao Yang,Shan Hu,Yonggui Wang,Xiao Hu,Biqing Zheng,Kuo Zhang,Huiling Wu,Zehua Dong,Y. Xu,Yijie Zhu,Xi Chen,Mengjiao Zhang,Lilei Yu,Fan Cheng,Honggang Yu |
| Citations | 451 |
| DOI | 10.1038/s41598-020-76282-0 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-020-76282-0.pdf |
| OpenAlex ID | https://openalex.org/W3096956107 |
| PMID | 33154542 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Ming Yang](https://scholariq.org/researchers/ming-yang-2/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## 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/)
- [COVID-19 Clinical Research Studies](https://scholariq.org/topics/covid-19-clinical-research-studies/)

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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.