Table 1 Pretrained deep models description: following a yearly sequence
From: A multilevel features selection framework for skin lesion classification
Model | Year | Source | Top-1 accuracy (ImagNet) (%) |
|---|---|---|---|
AlexNet | 2012 [45] | BVLC | 57.1 |
VGG16 | 2014 [46] | Oxford | 70.5 |
VGG19 | 2014 [46] | Oxford | 71.3 |
Inception V1 | 2015 [47] | 67.9 | |
SqueezeNet | 2016 [48] | DeepScale | 59.5 |
ResNet 50 | 2016 [49] | MSR | 75.3 |
ResNet 101 | 2016 [49] | MSR | 76.4 |
DenseNet201 | 2016 [50] | – | 77.0 |
Inception V2 | 2016 [51] | 72.2 | |
Inception V3 | 2016 [51] | 76.9 | |
Inception V4 | 2017 [52] | 80.2 | |
InceptionResNet V2 | 2017 [52] | 79.79 |