Table 1 Performance of the individual field-specific DCNNs in terms of AUC

From: Deep learning algorithm predicts diabetic retinopathy progression in individual patients

Month

F1

F2

F3

F4

F5

F6

F7

6

0.65 ± 0.12

0.65 ± 0.11

0.63 ± 0.09

0.59 ± 0.08

0.72 ± 0.11

0.66 ± 0.14

0.69 ± 0.12

12

0.68 ± 0.04

0.62 ± 0.07

0.67 ± 0.05

0.75 ± 0.06

0.70 ± 0.04

0.72 ± 0.05

0.74 ± 0.03

24

0.69 ± 0.07

0.61 ± 0.06

0.67 ± 0.04

0.68 ± 0.05

0.70 ± 0.03

0.65 ± 0.05

0.74 ± 0.04

  1. The associated errors are the standard deviation over the AUC values of 25 DCNNs (five repetitions × five folds, n = 25) trained for each field
  2. AUC area under the curve, DCNN deep convolutional neural network
Back to article page