Dynamic Learning Rate in Deep CNN Model for Metastasis Detection and Classification of Histopathology Images

Algorithm 3

Pseudocode for the convolutional neural network.

Input: image

Output: classification result

Data: training data

// function for convolution

1 Function Conv(activation, weights):

2 

3 

4 return conv

// function for max pooling

5 Function Pool(activation(^thlayer)):

6 

7 return

// function for the fully connected layer

8 Function FC(activation, learnable parameters):

9 

10 return

// Main program calls function

11 Function Main(input image, image class):

12 

13 

14 

15 

16 return Output(classification result)