Copyright
©The Author(s) 2021.
World J Gastroenterol. Jan 21, 2021; 27(3): 281-293
Published online Jan 21, 2021. doi: 10.3748/wjg.v27.i3.281
Published online Jan 21, 2021. doi: 10.3748/wjg.v27.i3.281
Figure 5 Improved accuracy of diagnosis with the assistance of the two computer-assisted detection systems according to the groups.
A: Improvement of endoscopists’ accuracy in the second phase with the assistance of computer-assisted detection (CAD)-white-light imaging; B: Improvement of endoscopists’ accuracy in the third phase with the assistance of CAD-narrow-band imaging. WLI: White-light imaging.
- Citation: Li B, Cai SL, Tan WM, Li JC, Yalikong A, Feng XS, Yu HH, Lu PX, Feng Z, Yao LQ, Zhou PH, Yan B, Zhong YS. Comparative study on artificial intelligence systems for detecting early esophageal squamous cell carcinoma between narrow-band and white-light imaging. World J Gastroenterol 2021; 27(3): 281-293
- URL: https://www.wjgnet.com/1007-9327/full/v27/i3/281.htm
- DOI: https://dx.doi.org/10.3748/wjg.v27.i3.281