Deep Learning–Based Automatic Classification of Stroke Size in Patients With Atrial Fibrillation

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  Figure 1.. Receiver operating characteristic (ROC) curves for the classification of stroke size using a deep learning algorithm. (A) Comparisons of the ROC curves for minor, moderate, and major classification in the internal validation dataset. The area under the ROC curve (AUC) values for classifying minor, moderate, and major stroke categories in the internal validation dataset were 0.973, 0.929, and 0.970. (B) Comparisons of the ROC curves for minor, moderate, and major classification in the external validation dataset. The AUC values for classifying minor, moderate, and major stroke categories in the external validation dataset were 0.988, 0.955, and 0.988.