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. Author manuscript; available in PMC: 2020 May 1.
Published in final edited form as: Ophthalmol Retina. 2019 Jan 31;3(5):444–450. doi: 10.1016/j.oret.2019.01.015

Figure 2: Areas under the receiver operating characteristics curves (AUC).

Figure 2:

(A) The AUCs for each convolutional neural network (CNN) produced by 5-fold cross-validation are shown, with mean (SD) equal to 0.958 (0.005). Model 1 demonstrated the highest level of discriminatory power between acceptable quality images and possibly acceptable quality images, as was indicated by the AUC. Therefore, it was selected for final evaluation on the independent test set (B), where it performed with an AUC equal to 0.965, a sensitivity of 93.9% and a specificity of 83.6%.