A Computationally Virtual Histological Staining Method to Ovarian Cancer Tissue by Deep Generative Adversarial Networks

Figure 2

Comparison of the results of using different trained models to construct data sets: (a) results generated by CycleGAN model; (b) results synthesized by the improved CycleGAN model; (c) enlarge some cavity area of the synthesized image; (d) results after introducing domain consistency network training; (e) result of using our modified generator structure and domain consistency network.