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

Title
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients
Authors
Keywords
COVID-19 diagnosis, Multi-shot learning, Contrastive loss, CXR images, Siamese network
Journal
PATTERN RECOGNITION
Volume -, Issue -, Pages 107700
Publisher
Elsevier BV
Online
2020-10-17
DOI
10.1016/j.patcog.2020.107700

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