Mouth Cavity Visual Analysis Based on Deep Learning for Oropharyngeal Swab Robot Sampling-Reference-Cited by-同舟云学术

Mouth Cavity Visual Analysis Based on Deep Learning for Oropharyngeal Swab Robot Sampling

Published:2023-12 Issue:6 Volume:53 Page:1083-1092
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Gao Qing¹^ORCID,Ju Zhaojie²^ORCID,Chen Yongquan³^ORCID,Zhang Tianwei³^ORCID,Leng Yuquan⁴^ORCID

Affiliation:

1. School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China

2. School of Computing, University of Portsmouth, Portsmouth, U.K.

3. Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, China

4. Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Shenzhen Institute of Artificial Intelligence and Robotics for Society

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

http://xplorestaging.ieee.org/ielx7/6221037/10360306/10304315.pdf?arnumber=10304315

Reference37 articles.

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2. A Survey of Hybrid Human-Artificial Intelligence for Social Computing

3. Combating COVID-19—The role of robotics in managing public health and infectious diseases

4. Mask R-CNN

5. VHDL Design for Image Segmentation using Gabor filter for Disease Detection