Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images

• Published in: Pattern recognition Vol. 113; p. 107826
• Main Authors: Chen, Xiaocong, Yao, Lina, Zhou, Tao, Dong, Jinming, Zhang, Yu
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.05.2021
• Subjects: Chest CT images; Contrastive learning; COVID-19 diagnosis; Few-shot learning; COVID-19 diagnosis; Chest CT images; Few-shot learning; Contrastive learning
• ISSN: 0031-3203; 1873-5142; 0031-3203
• DOI: 10.1016/j.patcog.2021.107826

•We formulate the COVID-19 diagnosis task as a few-shot learning problem.•A self-supervised representation learning method is proposed to diagnose COVID-19 using only a limited number of samples.•Our model is pre-trained on a general chest CT image dataset, andtested on two COVID-19 benchmarks. . Th...