Copyright
©The Author(s) 2022.
World J Gastroenterol. Jun 14, 2022; 28(22): 2457-2467
Published online Jun 14, 2022. doi: 10.3748/wjg.v28.i22.2457
Published online Jun 14, 2022. doi: 10.3748/wjg.v28.i22.2457
Table 1 Statistics distribution from esophageal lesion database
| Lesions invading the submucosa and muscularis mucosae | Lesions invading the muscularis propria | Lesions invading the serosal layer | |
| Train | 473 | 376 | 74 |
| Validation | 59 | 47 | 9 |
| Test | 59 | 47 | 9 |
| Total | 591 | 470 | 92 |
- Citation: Liu GS, Huang PY, Wen ML, Zhuang SS, Hua J, He XP. Application of endoscopic ultrasonography for detecting esophageal lesions based on convolutional neural network. World J Gastroenterol 2022; 28(22): 2457-2467
- URL: https://www.wjgnet.com/1007-9327/full/v28/i22/2457.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i22.2457