Automatic detection of small bowel lesions with different bleeding risks based on deep learning models

Table 2 Comparison of sensitivity, specificity, and accuracy of physician and model-assisted reading for different types of image recognition

Type of CE	Mode of reading	Sensitivity, %	Specificity, %	Accuracy, %
I	P	95.96	98.10	97.39
	M	99.85	99.57	99.66
N	P	94.96	94.25	94.52
	M	98.84	99.77	99.43
P0Lk	P	84.31	99.89	99.75
	M	96.92	99.97	99.94
P0Lz	P	78.66	99.71	99.23
	M	97.30	99.90	99.83
P0X	P	65.45	99.87	99.62
	M	93.82	99.98	99.94
P1E	P	67.33	99.55	99.28
	M	91.75	99.96	99.90
P1U	P	74.88	99.68	98.57
	M	98.39	99.94	99.87
P1P	P	64.71	99.78	99.61
	M	94.12	99.94	99.91
P2U	P	98.35	99.94	99.76
	M	99.69	99.99	99.95
P2P	P	88.14	99.71	99.65
	M	100	99.96	99.96
P2V	P	52.38	99.92	99.62
	M	97.40	99.97	99.96
B	P	100	100	100
	M	100	100	100

The models in this table refer to the improved models (with modules added). B: Blood; CE: Capsule endoscopy; I: Invalid pictures; M: Model-assisted reading; N: Normal pictures; P: Physician reading; P0Lk: Lymphangiectasia; P0Lz: Lymphoid follicular hyperplasia; P0X: Xanthoma; P1E: Erosion; P1P: Protruding lesion smaller than 1 cm; P1U: Ulcer smaller than 2 cm; P2P: Protruding lesion larger than 1 cm; P2U: Ulcer larger than 2 cm; P2V: Vasculopathy.