COVID-19: Automatic detection from X-ray images by utilizing deep learning methods

作者：

Highlights：

• A deep learning COVID-19 diagnostic system is developed using state-of-the-art deep learning architectures.

• A detailed analysis of different methods used for detecting COVID-19 is presented in this paper.

• Chest X-rays from different sources are collected to build a robust classification model.

• The developed diagnostic model provided efficient results, even with a limited number of input images.

• The results produced in this work are validated by an expert radiologist.

摘要

•A deep learning COVID-19 diagnostic system is developed using state-of-the-art deep learning architectures.•A detailed analysis of different methods used for detecting COVID-19 is presented in this paper.•Chest X-rays from different sources are collected to build a robust classification model.•The developed diagnostic model provided efficient results, even with a limited number of input images.•The results produced in this work are validated by an expert radiologist.

论文关键词：COVID-19,Deep learning,Coronavirus,Pandemic

论文评审过程：Received 3 July 2020, Revised 15 January 2021, Accepted 5 March 2021, Available online 16 March 2021, Version of Record 27 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114883