Copyright
©The Author(s) 2025.
World J Gastroenterol. May 21, 2025; 31(19): 104897
Published online May 21, 2025. doi: 10.3748/wjg.v31.i19.104897
Published online May 21, 2025. doi: 10.3748/wjg.v31.i19.104897
Table 1 Distribution of samples across the dataset
| Esophagitis A | Esophagitis B-D | Barretts-short-segment | Barretts | |
| Tarin set | 320 | 208 | 42 | 32 |
| Test set | 42 | 26 | 6 | 5 |
| Val set | 41 | 26 | 5 | 4 |
| Total | 403 | 260 | 53 | 41 |
- Citation: Wei W, Zhang XL, Wang HZ, Wang LL, Wen JL, Han X, Liu Q. Application of deep learning models in the pathological classification and staging of esophageal cancer: A focus on Wave-Vision Transformer. World J Gastroenterol 2025; 31(19): 104897
- URL: https://www.wjgnet.com/1007-9327/full/v31/i19/104897.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i19.104897