Copyright
©The Author(s) 2020.
World J Gastroenterol. Sep 14, 2020; 26(34): 5156-5168
Published online Sep 14, 2020. doi: 10.3748/wjg.v26.i34.5156
Published online Sep 14, 2020. doi: 10.3748/wjg.v26.i34.5156
Table 3 Performance of the binary classifiers
Plain scan | Arterial phase | Venous phase | χ2 value | P value | |
Accuracy | 0.954747 | 0.957580 | 0.951549 | 0.346 | 0.841 |
Specificity | 0.982710 | 0.975695 | 0.978692 | 0.149 | 0.928 |
Sensitivity | 0.915758 | 0.940808 | 0.922756 | 0.914 | 0.633 |
- Citation: Ma H, Liu ZX, Zhang JJ, Wu FT, Xu CF, Shen Z, Yu CH, Li YM. Construction of a convolutional neural network classifier developed by computed tomography images for pancreatic cancer diagnosis. World J Gastroenterol 2020; 26(34): 5156-5168
- URL: https://www.wjgnet.com/1007-9327/full/v26/i34/5156.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i34.5156