Automated Detection and Characterization of Colon Cancer with Deep Convolutional Neural Networks

Table 3

Using our DCNN model to compare its performance with other transfer learning models.

Model	Precision	Recall	Fl score	Training accuracy	Testing accuracy
VGG-16	88.80	89.33	90.02	98.95	92.90
ResNet101V2	86.89	88.09	83.47	97.93	90.45
EfficientNetB0	81.45	87.90	73.50	96.80	91.80
DcnscNctl21	81.32	64	71.69	98.03	91.10
MobileNetV2	80.89	78.90	69.02	92.46	81.26
ResNet5O	86.02	83.80	88.20	96.90	89.80
Proposed DCNN	100	99.59	99.80	99.87	99.80