A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images

作者：

Highlights：

• An AI based diagnosis of COVID-19 using a smartphone application has been explored.

• Novel generative adversarial network was created to increase the COVID-19 dataset.

• The performance of the created dataset was compared with the augmented dataset.

• Five least explored deep learning models have been utilized for the evaluation.

• Various performance metrics were used to assess the utilized deep learning models.

摘要

•An AI based diagnosis of COVID-19 using a smartphone application has been explored.•Novel generative adversarial network was created to increase the COVID-19 dataset.•The performance of the created dataset was compared with the augmented dataset.•Five least explored deep learning models have been utilized for the evaluation.•Various performance metrics were used to assess the utilized deep learning models.

论文关键词：Convolutional Neural Network,Deep learning,COVID-19,Chest X-rays,GAN,Smartphone application

论文评审过程：Received 19 August 2020, Revised 17 January 2021, Accepted 8 June 2021, Available online 12 June 2021, Version of Record 17 June 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115401