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

Table 1 Statistics distribution from esophageal lesion database

	Lesions invading the submucosa and muscularis mucosae	Lesions invading the muscularis propria	Lesions invading the serosal layer
Train	473	376	74
Validation	59	47	9
Test	59	47	9
Total	591	470	92

Table 2 Statistics distribution from esophageal submucosal lesion database

	Lesions from the muscularis propria	Lesions from the muscularis mucosae
Train	119	294
Validation	15	37
Test	15	37
Total	149	368

Table 3 Data augmentation parameter

Transformation type	Description
Rotation	Degree range for random rotations: -90°- 90°
Shift	Shift fraction of total height and total width: 0.1
Zoom	Range for random zoom: 0.9-1.1
Flip	Randomly flip image horizontally and vertically.
Shear	Shear intensity: 0.2 (shear angle in counter-clockwise direction in degrees)

Table 4 Comparative sensitivity, specificity, and accuracy results of classification branch of object detection network and classification network alone

	SENS	SPEC	ACC
Object detection classify	0.5839	0.8404	0.7861
Classification network alone	0.7400	0.9070	0.8733

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

Table 5 Comparison of preoperative enhanced ultrasound diagnosis and postoperative pathological diagnosis in patients

Characteristic (n = 726)
Gender, male/female	411/315
Age (yr), medina (range)	54.5 (26-85)
Invasion depth of esophageal lesion (n)	EUS diagnosis	Pathological diagnosis
Muscularis mucosa/submucosa	188	147
Muscularis propria	197	238
Serosa	45	45
Origin of esophageal lesions (n)
Muscularis mucosa	148	150
Muscularis propria	148	146

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.