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. 2020 Nov 4;51(5):2740–2763. doi: 10.1007/s10489-020-02019-1

Table 2.

First CNN architecture used within the scope of the study

Layer Layer Name Layer Parameters (Matlab)
1 imageInputLayer [448,448 1], [224,224 1], [224,224 2], [224,224 3] and [224,224 6]
2 convolution2dLayer (3,4,'Padding’,'same’)
3 batchNormalizationLayer default
4 reluLayer default
5 maxPooling2dLayer (2,'Stride’,2)
6 convolution2dLayer (3,8,'Padding’,'same’)
7 batchNormalizationLayer default
8 reluLayer default
9 maxPooling2dLayer (2,'Stride’,2)
10 convolution2dLayer (3,16,'Padding’,'same’)
11 batchNormalizationLayer default
12 reluLayer default
13 maxPooling2dLayer (2,'Stride’,2)
14 convolution2dLayer (3,32,'Padding’,'same’)
15 batchNormalizationLayer default
16 reluLayer default
17 maxPooling2dLayer (2,'Stride’,2)
18 convolution2dLayer (3,64,'Padding’,'same’)
19 batchNormalizationLayer default
20 reluLayer default
21 fullyConnectedLayer 2
22 softmaxLayer default
23 classificationLayer default