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©The Author(s) 2023.
World J Radiol. Dec 28, 2023; 15(12): 359-369
Published online Dec 28, 2023. doi: 10.4329/wjr.v15.i12.359
Published online Dec 28, 2023. doi: 10.4329/wjr.v15.i12.359
Table 2 Sensitivity and false positives/case for ensemble technique
| Single voter | 2 voter | 3 voter | |
| Sensitivity | 0.8 | 0.6 | 0.3 |
| False positives/case | 21.95 | 7.55 | 3.7 |
- Citation: Grudza M, Salinel B, Zeien S, Murphy M, Adkins J, Jensen CT, Bay C, Kodibagkar V, Koo P, Dragovich T, Choti MA, Kundranda M, Syeda-Mahmood T, Wang HZ, Chang J. Methods for improving colorectal cancer annotation efficiency for artificial intelligence-observer training. World J Radiol 2023; 15(12): 359-369
- URL: https://www.wjgnet.com/1949-8470/full/v15/i12/359.htm
- DOI: https://dx.doi.org/10.4329/wjr.v15.i12.359