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Domain Generalization by Learning from Privileged Medical Imaging Information
This paper demonstrates that by using privileged information to predict the severity of intra-layer retinal fluid in optical coherence tomography scans, the classification accuracy of a deep learning model operating on out-of-distribution data improves from $0. 911$ to $0. 934$.
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