CAGAN: Classifier‐augmented generative adversarial networks for weakly‐supervised COVID‐19 lung lesi...
CAGAN: Classifier‐augmented generative adversarial networks for weakly‐supervised COVID‐19 lung lesion localisation
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Author / Creator
Li, Xiaojie , Fei, Xin , Yan, Zhe , Ren, Hongping , Shi, Canghong , Zhang, Xian , Mumtaz, Imran , Luo, Yong and Wu, Xi
Publisher
John Wiley & Sons, Inc
Journal title
Language
English
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Publication information
Publisher
John Wiley & Sons, Inc
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Scope and Contents
Contents
The Coronavirus Disease 2019 (COVID‐19) epidemic has constituted a Public Health Emergency of International Concern. Chest computed tomography (CT) can help early reveal abnormalities indicative of lung disease. Thus, accurate and automatic localisation of lung lesions is particularly important to assist physicians in rapid diagnosis of COVID‐19 pa...
Alternative Titles
Full title
CAGAN: Classifier‐augmented generative adversarial networks for weakly‐supervised COVID‐19 lung lesion localisation
Authors, Artists and Contributors
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_5469ee21bf7a4e86b81763cc3ce89acc
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5469ee21bf7a4e86b81763cc3ce89acc
Other Identifiers
ISSN
1751-9632
E-ISSN
1751-9640
DOI
10.1049/cvi2.12216
