Application of endoscopic ultrasonography for detecting esophageal lesions based on convolutional neural network

Table 6 Results of proposed network in esophageal lesion database, %

	ACC	SENS	SPEC
Lesions invading the submucosa and muscularis mucosae	77.11	84.5	93.6
Lesions invading the muscularis propria	73.4	86.69	78.52
Lesions invading the serosa	98.9	72	99.14
Lesions from the muscularis mucosa	78.64	76.32	90.62
Lesions from the muscularis propria	84.4	81.64	90.92
Average	82.49	80.23	90.56

SENS: Sensitivity; SPEC: Specificity; ACC: Accuracy.