Research Article
[Retracted] Identification and Classification of Prostate Cancer Identification and Classification Based on Improved Convolution Neural Network
Table 3
Parameter settings of each layer of the network model.
| Parameter | Feature map size | Step size |
| Enter | | — | Densely connected blocks | | | Max pooling layer | | | Densely connected blocks | | | Max pooling layer | | | Densely connected blocks | | | Max pooling layer | | | Densely connected blocks | | | Max pooling layer | | | Densely connected blocks | | | Deconvolution layer | | | Densely connected blocks | | | Deconvolution layer | | | Densely connected blocks | | | Deconvolution layer | | | Densely connected blocks | | | Deconvolution layer | | | Densely connected blocks | | | Convolutional layer | | |
|
|