Python - Detection of photoreceptors

This repository contains python software pertaining to the detection of photoreceptors in healthy and pathological retinal images, as acquired by AOSLO. The software was developed as part of our 2018 Scientific Reports publication, titled “Automatic Cone Photoreceptor Localisation in Healthy and Stargardt Afflicted Retinas Using Deep Learning”.

Github link: https://github.com/RViMLab/NSR2018-AOSLO-photoreceptor-detection

B. Davidson, A. Kalitzeos, J. Carroll, A. Dubra, S. Ourselin, M. Michaelides, and C. Bergeles, “Automatic Cone Photoreceptor Localisation in Healthy and Stargardt Afflicted Retinas Using Deep Learning,” Scientific Reports, vol. 8, no.1, pp. 7911, 2018.

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