A Novel Hybrid Convolutional Neural Network Approach for the Stomach Intestinal Early Detection Cancer Subtype Classification

Table 2

Comparison of classification results of the proposed CNN model with sophisticated methods

Classification methods	Accuracy	Recall	Precision
DenseNet121	85.71	83.23	83.23
ResNet50	54.67	87.23	65.54
MobileNet	76.45	74.23	67.45
VGG16	83.45	48.34	73.56
MVNN	68.45	58.45	84.45
EfficientNet	46.53	65.45	45.67
Proposed method	92.34	89.45	90.67