  We propose a convolutional neural network for localising the centres of the
optic disc (OD) and fovea in ultra-wide field of view scanning laser
ophthalmoscope (UWFoV-SLO) images of the retina. Images captured in both
reflectance and autofluorescence (AF) modes, and central pole and eyesteered
gazes, were used. The method achieved an OD localisation accuracy of 99.4%
within one OD radius, and fovea localisation accuracy of 99.1% within one OD
radius on a test set comprising of 1790 images. The performance of fovea
localisation in AF images was comparable to the variation between human
annotators at this task. The laterality of the image (whether the image is of
the left or right eye) was inferred from the OD and fovea coordinates with an
accuracy of 99.9%
