Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration
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DOI: 10.1001/jamaophthalmol.2018.6156
Abstract: Importance Deep learning (DL) used for discriminative tasks in ophthalmology, such as diagnosing diabetic retinopathy or age-related macular degeneration (AMD), requires large image data sets graded by human experts to train deep convolutional neural networks… read more here.
Keywords: data sets; real synthetic; retinal specialists; synthetic images ... See more keywords