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physics.med-ph2019
Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders
Ce Zheng, Xiaolin Xie, Kang Zhou +8
Purpose: To assess whether a generative adversarial network (GAN) could synthesize realistic optical coherence tomography (OCT) images that satisfactorily serve as the educational…
physics.med-ph2019
Eliminating Shadow Artifacts via Generative Inpainting Networks to Quantify Vascular Changes of the Choroid
Huihong Zhang, Jianlong Yang, Kang Zhou +5
Shadow artifacts from retinal vessels hinder the development of quantitative choroidal biomarkers in Optical Coherence Tomography (OCT), which limits the clinical applications of t…
physics.med-ph2019
Deep learning enables extraction of capillary-level angiograms from single OCT volume
Jianlong Yang, Peng Liu, Lixin Duan +2
Optical coherence tomography angiography (OCTA) has drawn numerous attentions in ophthalmology. However, its data acquisition is time-consuming, because it is based on temporal-dec…