Application of an artificial intelligence system for endoscopic diagnosis of superficial esophageal squamous cell carcinoma

doi:10.3748/wjg.v28.i37.5483

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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. Oct 7, 2022; 28(37): 5483-5493
Published online Oct 7, 2022. doi: 10.3748/wjg.v28.i37.5483

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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

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 [PMID: 36312830 DOI: 10.3748/wjg.v28.i37.5483]

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