Title
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images
Abstract
•We develop a dual-branch combination network (DCN) for combined segmentation and classification of COVID-19 using CT images.•Inspired by the attention mechanism, we propose a lesion attention (LA) module to improve the sensitivity to CT images with small lesions and facilitate early screening of COVID-19.•The LA module provide accurate attention maps to improve the interpretability of the network and contribute to further assessment of the classification result.
Year
DOI
Venue
2021
10.1016/j.media.2020.101836
Medical Image Analysis
Keywords
DocType
Volume
COVID-19,Combined segmentation and classification,Attention,CT image
Journal
67
ISSN
Citations 
PageRank 
1361-8415
6
0.64
References 
Authors
15
12
Name
Order
Citations
PageRank
Kai Gao17839.46
Jianpo Su2101.03
Zhongbiao Jiang360.64
Ling-li Zeng4256.79
Zhichao Feng560.64
Hui Shen613415.32
Pengfei Rong760.64
Xin Xu81365100.22
Jian Qin9151.79
Yuexiang Yang1060.64
Wei Wang1160.64
Dewen Hu121290101.20