BioengineeringbioRxiv
UDCT: Unsupervised data to content transformation with histogram-matching cycle-consistent generative adversarial networks
S. J. Ihle, A. M. Reichmuth, S. Girardin…·C. Forro
This paper introduces an unsupervised image segmentation method using cycleGAN-inspired techniques and benchmarks it against a supervised network on cell-counting tasks.
DOI 10.1038/s42256-019-0096-2