Copyright
©The Author(s) 2022.
World J Gastroenterol. Nov 7, 2022; 28(41): 5931-5943
Published online Nov 7, 2022. doi: 10.3748/wjg.v28.i41.5931
Published online Nov 7, 2022. doi: 10.3748/wjg.v28.i41.5931
Figure 8 Comparison between the ensemble and single models on standard (clear) images.
Ground truth represents the anomalous locations marked by experts based on the original images. Val. 1st best to Val. 5th best represents the results of the five best-performing single models evaluated on the validation set. 5-ensemble represents the results of the ensemble model based on these single models.
- Citation: Zhou JX, Yang Z, Xi DH, Dai SJ, Feng ZQ, Li JY, Xu W, Wang H. Enhanced segmentation of gastrointestinal polyps from capsule endoscopy images with artifacts using ensemble learning. World J Gastroenterol 2022; 28(41): 5931-5943
- URL: https://www.wjgnet.com/1007-9327/full/v28/i41/5931.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i41.5931