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 3 Data augmentation parameter
| Transformation type | Description |
| Rotation | Degree range for random rotations: -90°- 90° |
| Shift | Shift fraction of total height and total width: 0.1 |
| Zoom | Range for random zoom: 0.9-1.1 |
| Flip | Randomly flip image horizontally and vertically. |
| Shear | Shear intensity: 0.2 (shear angle in counter-clockwise direction in degrees) |
- 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