BCS-Net: Boundary, Context, and Semantic for Automatic COVID-19 Lung Infection Segmentation From CT Images-Reference-Cited by-同舟云学术

BCS-Net: Boundary, Context, and Semantic for Automatic COVID-19 Lung Infection Segmentation From CT Images

Author:

Cong Runmin¹^ORCID,Yang Haowei¹^ORCID,Jiang Qiuping²^ORCID,Gao Wei³^ORCID,Li Haisheng⁴^ORCID,Wang Cong⁵^ORCID,Zhao Yao¹^ORCID,Kwong Sam⁶^ORCID

Affiliation:

1. Institute of Information Science, Beijing Jiaotong University, Beijing, China

2. School of Information Science and Engineering, Ningbo University, Ningbo, China

3. School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China

4. Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, China

5. Distributed and Parallel Software Laboratory, Huawei Technologies, Shenzhen, China

6. Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China

Funder

National Key Research and Development Program of China

Beijing Nova Program

National Natural Science Foundation of China

Beijing Natural Science Foundation

Hong Kong Innovation and Technology Commission

Hong Kong General Research Fund-Research Grants Council (GRF-RGC) General Research Fund

Open Research Fund of Beijing Key Laboratory of Big Data Technology for Food Safety

Natural Science Foundation of Zhejiang

Young Elite Scientist Sponsorship Program by the China Association for Science and Technology

Chinese Association for Artificial Intelligence (CAAI)-Huawei Mind-Spore Open Fund

Scientific Research Program of Beijing Municipal Education Commission

Beijing Natural Science Foundation and Fengtai Rail Transit Frontier Research Joint Fund

Fundamental Research Funds for the Central Universities through the Dr. Cong’s Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference51 articles.

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献