| Title | Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification |
| Author | |
| DOI | |
| Publication Years | 2020
|
| ISSN | 1082-3409
|
| ISBN | 978-1-7281-8536-1
|
| Source Title | |
| Pages | 1268-1273
|
| Conference Date | 9-11 Nov. 2020
|
| Conference Place | Baltimore, MD, USA
|
| Keywords | |
| SUSTech Authorship | Others
|
| URL | [Source Record] |
| Indexed By | |
| WOS Accession No | WOS:000649734800182
|
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9288321 |
| Citation statistics |
Cited Times [WOS]:7
|
| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/347989 |
| Department | The Third People's Hospital of Shenzhen |
| Affiliation | 1.Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen,Shenzhen,China 2.National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital (Second Hospital Affiliated to Southern University of Science and Technology),Department of Medical Ultrasonics,Shenzhen,China |
| Recommended Citation GB/T 7714 |
Lei Liu,Wentao Lei,Xiang Wan,et al. Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification[C],2020:1268-1273.
|
| Files in This Item: | There are no files associated with this item. | |||||
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