A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia
Zhejiang University · State Key Laboratory of Diagnosis and Treatment of Infectious Diseases · +2 more institutions
Abstract
The real-time reverse transcription-polymerase chain reaction (RT-PCR) detection of viral RNA from sputum or nasopharyngeal swab had a relatively low positive rate in the early stage of coronavirus disease 2019 (COVID-19). Meanwhile, the manifestations of COVID-19 as seen through computed tomography (CT) imaging show individual characteristics that differ from those of other types of viral pneumonia such as influenza-A viral pneumonia (IAVP). This study aimed to establish an early screening model to distinguish COVID-19 from IAVP and healthy cases through pulmonary CT images using deep learning techniques. A total of 618 CT samples were collected: 219 samples from 110 patients with COVID-19 (mean age 50 years;…
Citation impact
- FWCI
- 95.37
- Percentile
- 100%
- References
- 34
Authors
21- XXXiaowei Xu
Zhejiang University, State Key Laboratory of Diagnosis and Treatment of Infectious Diseases
- XJXiangao Jiang
Wenzhou Central Hospital
- CMChunlian Ma
The First People's Hospital of Wenling
- PDPeng Du
- XLXukun Li
Topics & keywords
- Viral pneumonia
- Pneumonia
- Deep learning
- Stage (stratigraphy)
- Coronavirus disease 2019 (COVID-19)
- Computed tomography
- Sputum