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©The Author(s) 2023.
World J Gastroenterol. Dec 28, 2023; 29(48): 6198-6207
Published online Dec 28, 2023. doi: 10.3748/wjg.v29.i48.6198
Published online Dec 28, 2023. doi: 10.3748/wjg.v29.i48.6198
Table 1 Baseline characteristics of development and test sets
| NBI image number | Training set, n = 771 | Label balance, n = 1187 | Valid set, n = 193 | Test set, n = 160 | ||||
| n | % | n | % | n | % | n | % | |
| No Barrett’s esophagus | 563 | 73.02 | 563 | 47.43 | 141 | 73.06 | 90 | 56.25 |
| Barrett’s esophagus | 208 | 26.98 | 624 | 52.57 | 52 | 26.94 | 70 | 43.75 |
- Citation: Tsai MC, Yen HH, Tsai HY, Huang YK, Luo YS, Kornelius E, Sung WW, Lin CC, Tseng MH, Wang CC. Artificial intelligence system for the detection of Barrett’s esophagus. World J Gastroenterol 2023; 29(48): 6198-6207
- URL: https://www.wjgnet.com/1007-9327/full/v29/i48/6198.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i48.6198