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Automated Artifact Detection in Ultra-widefield Fundus Photography of Patients with Sickle Cell Disease
A pre-trained ResNet-50 neural network was trained on a subset of the images and the classification accuracy, sensitivity, and specificity were quantified on the hold out test set.
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