Copyright
©The Author(s) 2022.
World J Gastrointest Endosc. May 16, 2022; 14(5): 311-319
Published online May 16, 2022. doi: 10.4253/wjge.v14.i5.311
Published online May 16, 2022. doi: 10.4253/wjge.v14.i5.311
Figure 3 Confusion matrix for the predictive model.
As illustrated, the model was able to accurately classify 314 of 337 esophagitis images and 357 of 382 normal images, with true positive and false positive rates of 93.2% and 93.5%, respectively.
- Citation: Caires Silveira E, Santos Corrêa CF, Madureira Silva L, Almeida Santos B, Mattos Pretti S, Freire de Melo F. Recognition of esophagitis in endoscopic images using transfer learning. World J Gastrointest Endosc 2022; 14(5): 311-319
- URL: https://www.wjgnet.com/1948-5190/full/v14/i5/311.htm
- DOI: https://dx.doi.org/10.4253/wjge.v14.i5.311