Copyright
©The Author(s) 2022.
World J Gastroenterol. Jun 14, 2022; 28(22): 2494-2508
Published online Jun 14, 2022. doi: 10.3748/wjg.v28.i22.2494
Published online Jun 14, 2022. doi: 10.3748/wjg.v28.i22.2494
Repeatability study | Cross-scanner agreement study | ||||||
View | n | Max RC | n | Bias | Min lower LOA | Max upper LOA | Agreement |
LLL | 342 | 0.27 (0.24, 0.29) | 237 | 0.00 (-0.01, 0.01) | -0.37 (-0.32, -0.42) | 0.37 (0.32, 0.42) | 92% |
RLL | 370 | 0.21 (0.19, 0.23) | 232 | 0.00 (-0.01, 0.01) | -0.37 (-0.33, -0.42) | 0.37 (0.33, 0.42) | 92% |
LKC | 267 | 0.30 (0.27, 0.34) | 183 | 0.00 (-0.01, 0.01) | -0.35 (-0.29, -0.41) | 0.35 (0.29, 0.41) | 93% |
SC | 297 | 0.26 (0.24, 0.29) | 182 | 0.00 (-0.01, 0.01) | -0.36 (-0.31, -0.42) | 0.36 (0.31, 0.42) | 94% |
All view groups | - | - | 237 | 0.00 (-0.01, 0.01) | -0.25 (-0.21, -0.28) | 0.24 (0.21, 0.28) | 94% |
- 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