Figure 2 | Scientific Reports

Figure 2

From: Deep learning-based automated detection and multiclass classification of focal interictal epileptiform discharges in scalp electroencephalograms

Figure 2

Binary classification performance with receiver operating characteristic (ROC) curves for frontal, temporal, and occipital IEDs. The upper, middle, and lower panels in each column represent the ROC curves of the frontal, temporal, and occipital IEDs, respectively. Abnormal and Normal in each small box indicate the performance using the non-IED epochs from patients and controls, respectively. CNN, convolutional neural network; IED, interictal epileptiform discharge; TPR, true positive rate; FPR, false positive rate.

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