Figure 1 | Scientific Reports

Figure 1

From: Predicting the central 10 degrees visual field in glaucoma by applying a deep learning algorithm to optical coherence tomography images

Figure 1

The CNN model. A CNN model was used to predict TD values in the central 10 degrees of the visual field (corresponding to HFA 10-2 test data). The mean TD values within the central 6 degrees at each quadrant (36 and four test points for the HFA 10-2 and HFA 24-2 tests, respectively) were calculated. The corresponding test grids in the inferonasal quadrant are shown. The differences between these values were calculated, and the predicted TD values were adjusted as per the calculated differences in each sector. CNN convolutional neural network, GCC ganglion cell complex, HFA Humphrey Field Analyzer, OS outer segment, RNFL retinal nerve fiber layer, RPE retinal pigment epithelium, TD total deviation.

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