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Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium

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Abstract

We generate synthetic images with a generative adversarial network (GAN) model trained with image patches from specular microscopy corneal endothelial cells. Preliminary results show it may be a suitable approach for reliable cell segmentation.

© 2022 The Author(s)

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