Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium
Fecha
2022Registro en:
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
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
Autor
Mendoza, Kevin D.
Sierra, Juan S
Tello, Alejandro
Galvis, Virgilio
Romero, Lenny A.
Marrugo, Andrés G.
Resumen
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)