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Automatic Retinal and Choroidal Boundary Segmentation in OCT Images Using Patch-Based Supervised Machine Learning Methods.

, , , , , , и . ACCV Workshops, том 11367 из Lecture Notes in Computer Science, стр. 215-228. Springer, (2018)

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Dual image and mask synthesis with GANs for semantic segmentation in optical coherence tomography., , , , , и . DICTA, стр. 1-8. IEEE, (2020)OCT chorio-retinal segmentation with adversarial loss., , , , и . DICTA, стр. 1-8. IEEE, (2021)Data augmentation for patch-based OCT chorio-retinal segmentation using generative adversarial networks., , , , , и . Neural Comput. Appl., 33 (13): 7393-7408 (2021)Automatic Retinal and Choroidal Boundary Segmentation in OCT Images Using Patch-Based Supervised Machine Learning Methods., , , , , , и . ACCV Workshops, том 11367 из Lecture Notes in Computer Science, стр. 215-228. Springer, (2018)Use of uncertainty quantification as a surrogate for layer segmentation error in Stargardt disease retinal OCT images., , , , , , и . DICTA, стр. 1-8. IEEE, (2021)OCT retinal image-to-image translation: Analysing the use of CycleGAN to improve retinal boundary semantic segmentation., , , и . DICTA, стр. 1-8. IEEE, (2021)Constructing Synthetic Chorio-Retinal Patches using Generative Adversarial Networks., , , , , и . DICTA, стр. 1-8. IEEE, (2019)