Jegannathan, N.; Zhang, X.; Seow, J.X.; Zhou, M.; Wang, L.; Goh, G.L.; Heng, S.Y.; Ng, T.D.R.; Goh, R.S.M.; Fu, H.;
et al. Real-World Insights in Designing SteatoStat: An End-to-End Deep Learning Pipeline for Hepatic Steatosis Quantification. Diagnostics 2026, 16, 1825.
https://doi.org/10.3390/diagnostics16121825
AMA Style
Jegannathan N, Zhang X, Seow JX, Zhou M, Wang L, Goh GL, Heng SY, Ng TDR, Goh RSM, Fu H,
et al. Real-World Insights in Designing SteatoStat: An End-to-End Deep Learning Pipeline for Hepatic Steatosis Quantification. Diagnostics. 2026; 16(12):1825.
https://doi.org/10.3390/diagnostics16121825
Chicago/Turabian Style
Jegannathan, Nagalakshmi, Xiaoman Zhang, Jia Xuan Seow, Menghan Zhou, Long Wang, Guo Lin Goh, Seow Ye Heng, Tony De Rong Ng, Rick Siow Mong Goh, Huazhu Fu,
and et al. 2026. "Real-World Insights in Designing SteatoStat: An End-to-End Deep Learning Pipeline for Hepatic Steatosis Quantification" Diagnostics 16, no. 12: 1825.
https://doi.org/10.3390/diagnostics16121825
APA Style
Jegannathan, N., Zhang, X., Seow, J. X., Zhou, M., Wang, L., Goh, G. L., Heng, S. Y., Ng, T. D. R., Goh, R. S. M., Fu, H., Liu, Y., Cheng, L. T.-E., Goh, G. B. B., Tai, D., Cheng, C. L., Wan, W. K., Lim, T. K. H., Khor, L. Y., & Leow, W. Q.
(2026). Real-World Insights in Designing SteatoStat: An End-to-End Deep Learning Pipeline for Hepatic Steatosis Quantification. Diagnostics, 16(12), 1825.
https://doi.org/10.3390/diagnostics16121825
