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. Author manuscript; available in PMC: 2021 Aug 1.
Published in final edited form as: Circ Arrhythm Electrophysiol. 2020 Jul 6;13(8):e008160. doi: 10.1161/CIRCEP.119.008160

Figure 4. Neural Network Accuracy for Intracardiac AF Electrical patterns in training and test cohorts.

Figure 4.

a. CNN training and validation set accuracy and loss as a function of training iterations (epochs). When trained with 100,000 input tiles, CNN accuracy and loss converged to 100% and 0, respectively. In the validation cohort, accuracy and loss converged to 98% and 0, respectively. b. Network Accuracy in the independent Test Cohort Varies with the Size of Prior Training Cohorts. Accuracy for the desired outputs (region of interest Y/N) increased dramatically with the number of tiles used in training, exceeding 90% at >20,000 training tiles and exceeding 95% at >90,000 training tiles.