Computational and Mathematical Methods in Medicine / 2022 / Article / Tab 1 / Research Article
ColoRectalCADx: Expeditious Recognition of Colorectal Cancer with Integrated Convolutional Neural Networks and Visual Explanations Using Mixed Dataset Evidence Table 1 Class labels of the mixed dataset.
Classes Original mixed dataset Images Modified classes Modified mixed dataset Images 0 Barretts 42 0 bbps-0-1 653 1 Barretts-short-segment 53 1 bbps-2-3 1148 2 bbps-0-1 653 2 Cecum 2009 3 bbps-2-3 1148 3 Dyed-lifted-polyps 2003 4 Cecum 2009 4 Dyed-resection-margins 1990 5 Dyed-lifted-polyps 2003 5 Esophagitis-a 1404 6 Dyed-resection-margins 1990 6 Non_polyps 818 7 Esophagitis-a 1404 7 Polyps 2150 8 Esophagitis-b-d 260 8 Pylorus 2000 9 Hemorrhoids 10 9 Retroflex-rectum 391 10 Ileum 9 10 Retroflex-stomach 765 11 Impacted-stool 132 11 Ulcerative-colitis-grade-0-1 1035 12 Non_polyps 818 12 Ulcerative-colitis-grade-2 443 13 Polyps 2150 13 - line1933 14 Pylorus 2000 15 Retroflex-rectum 391 16 Retroflex-stomach 765 17 Ulcerative-colitis-grade-0-1 1035 18 Ulcerative-colitis-grade-1 201 19 Ulcerative-colitis-grade-1-2 11 20 Ulcerative-colitis-grade-2 443 21 Ulcerative-colitis-grade-2-3 28 22 Ulcerative-colitis-grade-3 133 23 - line1933 19621 16942