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Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration

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 (DCNNs). In contrast, generative DL tec...

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Podrobná bibliografie
Vydáno v:JAMA Ophthalmol
Hlavní autoři: Burlina, Philippe M., Joshi, Neil, Pacheco, Katia D., Liu, T. Y. Alvin, Bressler, Neil M.
Médium: Artigo
Jazyk:Inglês
Vydáno: American Medical Association 2019
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6439721/
https://ncbi.nlm.nih.gov/pubmed/30629091
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamaophthalmol.2018.6156
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