CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia

作者：

Highlights：

• A high-performance pneumonia detection system was proposed in this paper.

• Transfer learning is used to obtain feature extractor.

• A novel graph-based feature reconstruction method was proposed.

• The proposed feature reconstruction is efficient yet transplantable to other scenarios.

摘要

•A high-performance pneumonia detection system was proposed in this paper.•Transfer learning is used to obtain feature extractor.•A novel graph-based feature reconstruction method was proposed.•The proposed feature reconstruction is efficient yet transplantable to other scenarios.

论文关键词：COVID-19,Chest X-ray images,Transfer learning,Graph,Feature reconstruction

论文评审过程：Received 20 June 2020, Revised 26 September 2020, Accepted 10 October 2020, Available online 19 October 2020, Version of Record 19 October 2020.

论文官网地址：https://doi.org/10.1016/j.ipm.2020.102411