Table 3.

Cross-validation.

	Dice	Balanced accuracy
CNN	0.864 (0.052)	0.942 (0.028)
DNN	0.831 (0.122)	0.922 (0.018)
SVM	0.818 (0.115)	0.895 (0.071)

Mean (SD) Dice index and balanced accuracy of the three machine learning models for DWMA detection. The proposed CNN model outperformed compared DNN and SVM in the 10-fold cross-validation with 50 subjects. CNN, convolutional neural networks; DNN, deep neural networks; SVM, support vector machine. The boldface denotes the best performance for individual metrics in the validation experiment.