CAGAN: Classifier‐augmented generative adversarial networks for weakly‐supervised COVID‐19 lung lesion localisation

CAGAN: Classifier‐augmented generative adversarial networks for weakly‐supervised COVID‐19 lung lesion localisation

Abstract 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 impor...

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Bibliographic Details
Main Authors: Xiaojie Li, Xin Fei, Zhe Yan, Hongping Ren, Canghong Shi, Xian Zhang, Imran Mumtaz, Yong Luo, Xi Wu
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:IET Computer Vision
Subjects:
biomedical MRI
computer graphics
patient diagnosis
Online Access:https://doi.org/10.1049/cvi2.12216

Internet

https://doi.org/10.1049/cvi2.12216

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