Correction: A deep learning model for the detection of both advanced and early glaucoma using fundus photography.

[This corrects the article DOI: 10.1371/journal.pone.0207982.].

There are errors in the second and third sentence of the second paragraph under the subheading “Training Model” in the Methods section. The correct sentences are: Two convolutional layers, with patch sizes of 20x20 and 40x40, were used with a stride of 1 and depths of 16 and 32. Max pooling was applied, with a patch size of 2x2 and a stride of 2.

Fig 3 is incorrect. The text under both “Max-pooling” labels should read “2x2 kernel.” The authors have provided a corrected version here.

Fig 3

Convolutional neural network architecture: A schematic view of our convolutional neural network used in this study.

It consists of three convolutional layers with max pooling applied at each layer, along with two fully connected layers.