Software: Unsupervised detection of cone photoreceptors in AOSLO images

This repository contains matlab software pertaining to automated cone photoreceptor identification in adaptive optics scanning light ophthalmoscope (AOSLO) images. The software was developed as part of our 2017 Biomedical Optics Express publication, titled “Unsupervised Identification of Cone Photoreceptors in Non-Confocal Adaptive Optics Scanning Light Ophthalmoscope Images”.

Github link: https://github.com/RViMLab/BOE2017-AOSLO-photoreceptor-detection

C. Bergeles, A. M. Dubis, B. Davidson, M. Kasilian, A. Kalitzeos, J. Carroll, A. Dubra, M. Michaelides, and S. Ourselin, “Unsupervised identification of cone photoreceptors in non-confocal adaptive optics scanning light ophthalmoscope images,” Biomedical Optics Express, vol. 8, no. 6, pp. 4244–4251, 2017 [pdf].