Classification of pediatric video capsule endoscopy images for small bowel abnormalities using deep learning models

Table 7 The overall performances of the deep learning models in the testing set

Model	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)	AU-ROC (%)
DenseNet121	88.6	87.5	79.0	82.5	87.1
VGG16	85.5	87.0	73.3	77.3	83.6
ResNet50	89.7	87.8	81.0	83.8	88.5
ViT	86.6	81.3	80.0	80.5	87.5

VGG: Visual geometry group; ViT: Vision transformer; AU-ROC: Area under the receiver operating curve.