most citedSynthetic Medical Images from Dual Generative Adversarial Networks

112 citations · 112 across the 1 of their papers we have counts for

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1 paper

cs.CV2017★ 112 cited

Synthetic Medical Images from Dual Generative Adversarial Networks

John T. Guibas, Tejpal S. Virdi, Peter S. Li

Currently there is strong interest in data-driven approaches to medical image classification. However, medical imaging data is scarce, expensive, and fraught with legal concerns re…