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. 2020 Aug 28;7:283. doi: 10.1038/s41597-020-00622-y

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 8 — Confusion matrices for Averaged ResNet-152 + DenseNet-161 and Pre-Trained DenseNet-161 including both splits. These confusion matrices were selected based on their performance. Averaged ResNet-152 + DenseNet-161 achieved the best micro-averaged results while the Pre-Trained DenseNet-161 achieved the best macro-averaged result. The color codes represent the percentages of the total number of images within each class. The labeling of the classes is as follows: (A) Barrett’s; (B) bbps-0-1; (C) bbps-2-3; (D) dyed lifted polyps; (E) dyed resection margins; (F) hemorrhoids; (G) ileum; (H) impacted stool; (I) normal cecum; (J) normal pylorus; (K) normal Z-line; (L) oesophagitis-a; (M) oesophagitis-b-d; (N) polyp; (O) retroflex rectum; (P) retroflex stomach; (Q) short segment Barrett’s; (R) ulcerative colitis grade 0-1; (S) ulcerative colitis grade 1-2; (T) ulcerative colitis grade 2-3; (U) ulcerative colitis grade 1; (V) ulcerative colitis grade 2; (W) ulcerative colitis grade 3.