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©The Author(s) 2025.
World J Gastroenterol. Jun 7, 2025; 31(21): 107601
Published online Jun 7, 2025. doi: 10.3748/wjg.v31.i21.107601
Published online Jun 7, 2025. doi: 10.3748/wjg.v31.i21.107601
Table 1 The data distribution for the classification of normal mucosa, erosions/erythema, ulcers, and polyps
Training set | Testing set | Total | |
Normal mucosa | 916 | 228 | 1144 |
Erosions/erythema | 272 | 68 | 340 |
Ulcers | 151 | 37 | 188 |
Polyps | 501 | 125 | 626 |
Total images | 1840 | 458 | 2298 |
- Citation: Huang YH, Lin Q, Jin XY, Chou CY, Wei JJ, Xing J, Guo HM, Liu ZF, Lu Y. Classification of pediatric video capsule endoscopy images for small bowel abnormalities using deep learning models. World J Gastroenterol 2025; 31(21): 107601
- URL: https://www.wjgnet.com/1007-9327/full/v31/i21/107601.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i21.107601