Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays

作者:

Highlights:

• On the use of chest X-ray to identify patients suffering from COVID-19.

• Pareto-based multi-objective optimization to set up best multi-expert systems.

• Ensemble of deep networks.

• Extensive validation using 4 different public datasets.

• Binary and 3-class classification tasks.

摘要

•On the use of chest X-ray to identify patients suffering from COVID-19.•Pareto-based multi-objective optimization to set up best multi-expert systems.•Ensemble of deep networks.•Extensive validation using 4 different public datasets.•Binary and 3-class classification tasks.

论文关键词:COVID-19,X-ray,Deep-learning,Multi-expert systems,Optimization,Convolutional neural networks

论文评审过程:Received 31 March 2021, Revised 26 July 2021, Accepted 8 August 2021, Available online 9 August 2021, Version of Record 14 August 2021.

论文官网地址:https://doi.org/10.1016/j.patcog.2021.108242