Copyright
©The Author(s) 2021.
Artif Intell Gastrointest Endosc. Apr 28, 2021; 2(2): 12-24
Published online Apr 28, 2021. doi: 10.37126/aige.v2.i2.12
Published online Apr 28, 2021. doi: 10.37126/aige.v2.i2.12
Table 2 Specific concepts of the main evaluation indicators
Index | Description | Usage | Unit |
DICE | Repeat rate between the segmentation results and markers | Commonly | % |
RMSD | The root mean square of the symmetrical position surface distance between the segmentation results and the markers | Commonly | mm |
VOE | The degree of overlap between the segmentation results and the actual segmentation results represents the error rate | Commonly | % |
RVD | The difference in volume between the segmentation results and the markers | Rarely | % |
- Citation: Li Y, Zhou D, Liu TT, Shen XZ. Application of deep learning in image recognition and diagnosis of gastric cancer. Artif Intell Gastrointest Endosc 2021; 2(2): 12-24
- URL: https://www.wjgnet.com/2689-7164/full/v2/i2/12.htm
- DOI: https://dx.doi.org/10.37126/aige.v2.i2.12