MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients

标题
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients
作者
关键词
COVID-19 diagnosis, Multi-shot learning, Contrastive loss, CXR images, Siamese network
出版物
PATTERN RECOGNITION
Volume -, Issue -, Pages 107700
出版商
Elsevier BV
发表日期
2020-10-17
DOI
10.1016/j.patcog.2020.107700

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