[HTML][HTML] Image-to-image translation with generative adversarial networks via retinal masks for realistic optical coherence tomography imaging of diabetic macular …
One of the main issues with deep learning is the need of a significant number of samples.
We intend to address this problem in the field of Optical Coherence Tomography (OCT) …
We intend to address this problem in the field of Optical Coherence Tomography (OCT) …
[PDF][PDF] Image-to-image translation with Generative Adversarial Networks via retinal masks for realistic Optical Coherence Tomography imaging of Diabetic Macular …
PL Vidal, J de Moura, J Novo… - Biomedical Signal …, 2023 - researchgate.net
One of the main issues with deep learning is the need of a significant number of samples.
We intend to address this problem in the field of Optical Coherence Tomography (OCT) …
We intend to address this problem in the field of Optical Coherence Tomography (OCT) …
Image-to-image translation with Generative Adversarial Networks via retinal masks for realistic Optical Coherence Tomography imaging of Diabetic Macular Edema …
P Vidal, J Moura, J Novo Buján, M Penedo… - … Signal Processing and …, 2023 - ruc.udc.es
One of the main issues with deep learning is the need of a significant number of samples.
We intend to address this problem in the field of Optical Coherence Tomography (OCT) …
We intend to address this problem in the field of Optical Coherence Tomography (OCT) …