Enhanced cell segmentation with limited training datasets using cycle generative adversarial networks

Highlights cGAN-Seg is a customized cycleGAN model designed for enhanced cell segmentation cGAN-Seg generates realistic synthetic phasecontrast and fluorescent images cGAN-Seg improves the accuracy of segmentation models with limited annotated data cGAN-Seg works across various cell types and widely used segmentation models