Real-World Insights in Designing SteatoStat: An End-to-End Deep Learning Pipeline for Hepatic Steatosis Quantification.

Saved in:
Bibliographic Details
Title: Real-World Insights in Designing SteatoStat: An End-to-End Deep Learning Pipeline for Hepatic Steatosis Quantification.
Authors: Jegannathan, Nagalakshmi1 (AUTHOR), Zhang, Xiaoman2 (AUTHOR), Seow, Jia Xuan1,3 (AUTHOR), Zhou, Menghan2,4 (AUTHOR), Wang, Long2,5 (AUTHOR), Goh, Guo Lin3,6 (AUTHOR), Heng, Seow Ye1,7 (AUTHOR), Ng, Tony De Rong4,8 (AUTHOR), Goh, Rick Siow Mong1,2 (AUTHOR), Fu, Huazhu2 (AUTHOR), Liu, Yong2,3 (AUTHOR), Cheng, Lionel Tim-Ee4,5,6 (AUTHOR), Goh, George Boon Bee5,7 (AUTHOR), Tai, Dean6,8 (AUTHOR), Cheng, Chee Leong1,7 (AUTHOR), Wan, Wei Keat1,8 (AUTHOR), Lim, Tony Kiat Hon1,6 (AUTHOR), Khor, Li Yan1,6 (AUTHOR), Leow, Wei Qiang1,3,6 (AUTHOR) leow.wei.qiang@singhealth.com.sg
Source: Diagnostics (2075-4418). Jun2026, Vol. 16 Issue 12, p1825. 18p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
Description
ISSN:20754418
DOI:10.3390/diagnostics16121825