Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images via scalable deep learning

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World Journal of Gastroenterology

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1007-9327

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastroenterol. Jun 14, 2022; 28(22): 2494-2508
Published online Jun 14, 2022. doi: 10.3748/wjg.v28.i22.2494

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Figure 1 Flowchart. 2D-US: Two-dimensional ultrasound.

Citation: Li B, Tai DI, Yan K, Chen YC, Chen CJ, Huang SF, Hsu TH, Yu WT, Xiao J, Le L, Harrison AP. Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images via scalable deep learning. World J Gastroenterol 2022; 28(22): 2494-2508
URL: https://www.wjgnet.com/1007-9327/full/v28/i22/2494.htm
DOI: https://dx.doi.org/10.3748/wjg.v28.i22.2494

Li B, Tai DI, Yan K, Chen YC, Chen CJ, Huang SF, Hsu TH, Yu WT, Xiao J, Le L, Harrison AP. Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images via scalable deep learning. World J Gastroenterol 2022; 28(22): 2494-2508 [PMID: 35979264 DOI: 10.3748/wjg.v28.i22.2494]

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