Longitudinal Healthy Multi-modal AO Datasets With Two Timepoints
Version 1Validation dataset for the paper:Chen, M., Cooper, R.F., Gee, J.C., Brainard, D.H. and Morgan, J.I., 2019. Automatic longitudinal montaging of adaptive optics retinal images using constellation matching. Biomedical Optics Express, 10(12), pp.6476-6496. 4 complete longitudinal AO imaging datasets of healthy subjects, with two timepoints. Each retinal location contains 3 channels (confocal, split detection, dark field). The intensity for the split detection in the earlier dataset for each subje
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Validation dataset for the paper:Chen, M., Cooper, R.F., Gee, J.C., Brainard, D.H. and Morgan, J.I., 2019. Automatic longitudinal montaging of adaptive optics retinal images using constellation matching. Biomedical Optics Express, 10(12), pp.6476-6496. 4 complete longitudinal AO imaging datasets of healthy subjects, with two timepoints. Each retinal location contains 3 channels (confocal, split detection, dark field). The intensity for the split detection in the earlier dataset for each subje