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. 2026 Sep 17;9:1952159. doi: 10.3389/frai.2026.1952159

Table 13.

Model performance on HyperKvasir dataset.

Class Val. images Precision (%) Recall/sensitivity (%) F1-score (%) Class accuracy (%)
Barretts 13 52.38 84.62 64.71 84.62
Barretts-short-segment 16 93.33 87.50 90.32 87.50
BBPS-0-1 194 93.12 90.72 91.91 90.72
BBPS-2-3 345 93.55 92.46 93.00 92.46
Cecum 303 91.12 91.42 91.27 91.42
Dyed-lifted-polyps 301 92.26 91.03 91.64 91.03
Dyed-resection-margins 297 92.47 90.91 91.68 90.91
Esophagitis-A 121 85.27 90.91 88.00 90.91
Esophagitis-B-D 78 92.11 89.74 90.91 89.74
Impacted-stool 40 100.00 90.00 94.74 90.00
Polyps 309 83.43 91.26 87.17 91.26
Pylorus 300 88.93 91.00 89.95 91.00
Retroflex-rectum 118 90.68 90.68 90.68 90.68
Retroflex-stomach 230 97.21 90.87 93.93 90.87
UC Grade 0–1 11 83.33 90.91 86.96 90.91
UC Grade 1 61 84.62 90.16 87.30 90.16
UC Grade 1–2 4 100.00 75.00 85.71 75.00
UC Grade 2 133 96.03 90.98 93.44 90.98
UC Grade 2–3 9 100.00 88.89 94.12 88.89
UC Grade 3 40 81.82 90.00 85.71 90.00
Z-line 280 95.13 90.71 92.87 90.71