Diverse COVID-19 CT Image-to-Image Translation with Stacked Residual Dropout

Table S1: Summary of performance metrics for section 3.2; Dataset S2: Instance-diverse synthetic COVID-19 CT images generated from the sRD-GAN with light residual dropout; Dataset S3: Synthetic COVID-19 CT images generated from the HUST-19 dataset; Dataset S4: Synthetic CAP CT images generated by sRD-GAN; Dataset S5: Synthetic COVID-19 X-Ray images generated by sRD-GAN.

More synthetic COVID-19 CT images can be found at Large-scale Instance-diverse Synthetic COVID-19 CT Dataset

Acknowledgements: 

If you use this dataset in your research, please credit the author: 

[1] Lee, K.W.; Chin, R.K.Y. Diverse COVID-19 CT Image-to-Image Translation with Stacked Residual Dropout. Bioengineering 2022, 9, 698. https://doi.org/10.3390/bioengineering9110698

References: 

[2] Ning, W.; Lei, S.; Yang, J.; Cao, Y.; Jiang, P.; Yang, Q.; Zhang, J.; Wang, X.; Chen, F.; Geng, Z.; et al. Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via Deep Learning. Nat. Biomed. Eng. 2020, 4, 1197–1207.