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. 2022 May 2;3(4):544–556. doi: 10.1016/j.fmre.2022.03.025

Table 1.

Properties of the 8 pre-trained models selected for the experiments.

Model Depth Size Parameters (Millions) Image Input Size
ResNet50 50 96 MB 25.6 224 × 224
ResNet101 101 167 MB 44.6 224 × 224
VGG16 16 515 MB 138 224 × 224
VGG19 19 535 MB 144 224 × 224
GoogleNet 22 27 MB 7 224 × 224
MobileNet V2 53 13 MB 3.5 224 × 224
AlexNet 8 227 MB 61 227 × 227
DenseNet201 201 77 MB 20 224 × 224

Note: These 8 pre-trained networks have different network depths, network sizes, network parameter scales, and input image sizes, and they cover almost all forms of current deep learning models. The results obtained from the validation experiments on these 8 pre-trained models with small samples are generalizable.