Simplified U-Net as a deep learning intelligent medical assistive tool in glaucoma detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s12065-022-00775-2.pdf
Reference67 articles.
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3. Badrinarayanan V, Kendall A, Cipolla R (2017) Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE transact on pattern anal machine intell 39(12):2481–2495. https://doi.org/10.1109/TPAMI.2016.2644615
4. Bock R, Meier J, Nyúl LG, Hornegger J, Michelson G (2010) Glaucoma risk index: automated glaucoma detection from color fundus images. Med img anal. 14(3):471–481. https://doi.org/10.1016/j.media.2009.12.006
5. Carmona EJ, Rincón M, García-Feijoó J, Martínez-de-la Casa JM (2008) Identification of the optic nerve head with genetic algorithms. Artificial Intelligence Med 43(3):243–259. https://doi.org/10.1016/j.artmed.2008.04.005
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