Blaschko Matthew B

Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning.

These results demonstrate the benefits of deep learning for automated glaucoma detection based on optic disc-centred fundus images.

Pointwise Visual Field Estimation From Optical Coherence Tomography in Glaucoma Using Deep Learning.

Deep learning can estimate global and pointwise VF sensitivities that fall almost entirely within the 90% test-retest confidence intervals of the 24-2 SS test.