Joint segmentation and detection of COVID-19 via a sequential region generation network

作者：

Highlights：

• Joint segmentation and detection framework for COVID-19.

• Context enhancement module for semantic segmentation.

• Context enhancement at multiple resolutions.

• Optimize segmentation and detection results through post-processing.

• Obtained state-of-the-art results for COVID-19 segmentation and detection.

摘要

•Joint segmentation and detection framework for COVID-19.•Context enhancement module for semantic segmentation.•Context enhancement at multiple resolutions.•Optimize segmentation and detection results through post-processing.•Obtained state-of-the-art results for COVID-19 segmentation and detection.

论文关键词：COVID-19,Segmentation,Detection,Context enhancement,Edge loss

论文评审过程：Received 6 December 2020, Revised 14 April 2021, Accepted 27 April 2021, Available online 13 May 2021, Version of Record 24 May 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108006