Copyright
©The Author(s) 2022.
World J Gastroenterol. Oct 7, 2022; 28(37): 5483-5493
Published online Oct 7, 2022. doi: 10.3748/wjg.v28.i37.5483
Published online Oct 7, 2022. doi: 10.3748/wjg.v28.i37.5483
Figure 1 The architecture of the computer-assisted diagnosis system.
The input of this network was the esophageal images, and the output was an indicator frame that captured the interest region, together with the predicted quantitative level of confidence for esophageal squamous cell carcinoma.
- Citation: Meng QQ, Gao Y, Lin H, Wang TJ, Zhang YR, Feng J, Li ZS, Xin L, Wang LW. Application of an artificial intelligence system for endoscopic diagnosis of superficial esophageal squamous cell carcinoma. World J Gastroenterol 2022; 28(37): 5483-5493
- URL: https://www.wjgnet.com/1007-9327/full/v28/i37/5483.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i37.5483