Research Article

A High-Precision Classification Method of Mammary Cancer Based on Improved DenseNet Driven by an Attention Mechanism

Table 2

The number of training parameters of different network models.

Network modelNumber of training parameters (one)
Binary classificationMulticlass classification

ResNet181117286611175944
DenseNet12175445187550788
DenseNet1691317255013182660
DenseNet2011888749418899140
DenseNet2643159392631610180
MFSCNet A76061907612460
MFSCNet B75539147560184
MFSCNet C75967947603064