Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium

Mendoza, Kevin D.; Sierra, Juan S; Tello, Alejandro; Galvis, Virgilio; Romero, Lenny A.; Marrugo, Andrés G.

Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium

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Scopus - Document details - Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium.pdf (174.82 KB)

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2022

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Mendoza, Kevin D.

Sierra, Juan S

Tello, Alejandro

Galvis, Virgilio

Romero, Lenny A.

Marrugo, Andrés G.

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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Mendoza, K. D., Sierra, J. S., Tello, A., Galvis, V., Romero, L. A., & Marrugo, A. G. (2022, July). Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium. In Imaging Systems and Applications (pp. ITh3D-3). Optica Publishing Group

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https://hdl.handle.net/20.500.12585/12222

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Scopus - Document details - Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium.pdf

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Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium

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Scopus - Document details - Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium.pdf