Analyzing Age-Related Macular Degeneration Progression in Patients with Geographic Atrophy Using Joint Autoencoders for Unsupervised Change Detection
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Externally hosted supplementary file 1
Link: https://github.com/gouzmi/Unsupervised-Change-Detection
Description: source code and samples : https://github.com/gouzmi/Unsupervised-Change-Detection https://github.com/gouzmi/Env_DMLA
Dupont, G.; Kalinicheva, E.; Sublime, J.; Rossant, F.; Pâques, M. Analyzing Age-Related Macular Degeneration Progression in Patients with Geographic Atrophy Using Joint Autoencoders for Unsupervised Change Detection. J. Imaging 2020, 6, 57. https://doi.org/10.3390/jimaging6070057
Dupont G, Kalinicheva E, Sublime J, Rossant F, Pâques M. Analyzing Age-Related Macular Degeneration Progression in Patients with Geographic Atrophy Using Joint Autoencoders for Unsupervised Change Detection. Journal of Imaging. 2020; 6(7):57. https://doi.org/10.3390/jimaging6070057
Chicago/Turabian StyleDupont, Guillaume; Kalinicheva, Ekaterina; Sublime, Jérémie; Rossant, Florence; Pâques, Michel. 2020. "Analyzing Age-Related Macular Degeneration Progression in Patients with Geographic Atrophy Using Joint Autoencoders for Unsupervised Change Detection" J. Imaging 6, no. 7: 57. https://doi.org/10.3390/jimaging6070057