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.