Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey

A Iqbal, M Sharif, M Yasmin, M Raza, S Aftab - International Journal of …, 2022 - Springer
Recent advancements with deep generative models have proven significant potential in the
task of image synthesis, detection, segmentation, and classification. Segmenting the medical …

OCT chorio-retinal segmentation with adversarial loss

J Kugelman, D Alonso–Caneiro… - 2021 Digital Image …, 2021 - ieeexplore.ieee.org
Deep learning methods provide state-of-the-art performance for the semantic segmentation
of the retina and choroid in optical coherence tomography (OCT) images, enabling rapid …

Deep learning for computer-aided diagnosis in ophthalmology: a review

JM Brown, G Leontidis - State of the Art in Neural Networks and their …, 2021 - Elsevier
Artificial intelligence has once again come to the fore following the tremendous success of
one class of mathematical models, the artificial neural network. The newly coined approach …