Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning
Benha University · University of New Mexico · +1 more institution
Abstract
The coronavirus (COVID-19) pandemic is putting healthcare systems across the world under unprecedented and increasing pressure according to the World Health Organization (WHO). With the advances in computer algorithms and especially Artificial Intelligence, the detection of this type of virus in the early stages will help in fast recovery and help in releasing the pressure off healthcare systems. In this paper, a GAN with deep transfer learning for coronavirus detection in chest X-ray images is presented. The lack of datasets for COVID-19 especially in chest X-rays images is the main motivation of this scientific study. The main idea is to collect all the possible images for COVID-19 that exists until the…
Citation impact
- FWCI
- 54.38
- Percentile
- 100%
- References
- 66
Authors
3Topics & keywords
- Transfer of learning
- Computer science
- Coronavirus disease 2019 (COVID-19)
- Deep learning
- Artificial intelligence
- Pneumonia
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- Medicine
- Good health and well-being