Detecting pulmonary diseases using deep features in X-ray images

作者：

Highlights：

• An end-to-end methodology for pneumonia detection in X-ray images, including COVID-19.

• An image resizing method that preserves anatomical structures of the chest in X-ray.

• An extensive evaluation with seven CNN architectures and fine-tuning of all layers.

摘要

•An end-to-end methodology for pneumonia detection in X-ray images, including COVID-19.•An image resizing method that preserves anatomical structures of the chest in X-ray.•An extensive evaluation with seven CNN architectures and fine-tuning of all layers.

论文关键词：COVID-19,X-ray,Deep learning,Pre-processing

论文评审过程：Received 19 February 2021, Revised 29 April 2021, Accepted 27 May 2021, Available online 11 June 2021, Version of Record 21 June 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108081