Table 7.

Evaluation results on a per-class basis applied to EGD videos using InceptionResNetV2-based models trained on EGD still images.

	Top 1			Top 5			Total (n = 20)
Labels	Sensitivity	Specificity	Avg. Frames	Sensitivity	Specificity	Avg. Frames	Sensitivity	Specificity	Avg. Frames
ES	100.00	98.10	280	91.09	95.07	462	89.79	95.68	650
GE	65.00	100.00	400	54.96	98.14	318	52.11	98.64	345
CR	81.13	99.54	1060	78.43	96.46	564	57.41	98.05	600
UB	32.00	99.35	500	26.40	95.91	655	19.27	95.88	248
MB	38.88	95.80	720	19.15	97.97	440	19.36	95.88	1218
LB	66.66	96.53	540	25.39	98.08	420	27.22	93.37	811
AG	96.80	93.41	1880	69.95	95.76	573	65.18	95.07	525
AT	76.35	93.84	2960	77.72	96.13	1188	74.10	93.45	955
BB	78.94	95.74	380	75.78	95.96	192	56.69	95.27	216
SD	83.01	100.00	1060	74.03	99.44	426	78.55	99.18	292