Table 3.

Second 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	(3,8,'Padding’,'same’)
3	batchNormalizationLayer	default
4	reluLayer	default
5	convolution2dLayer	(3,8,'Padding’,'same’)
6	batchNormalizationLayer	default
7	reluLayer	default
8	maxPooling2dLayer	(2,'Stride’,2)
9	convolution2dLayer	(3,16,'Padding’,'same’)
10	batchNormalizationLayer	default
11	reluLayer	default
12	convolution2dLayer	(3,16,'Padding’,'same’)
13	batchNormalizationLayer	default
14	reluLayer	default
15	maxPooling2dLayer	(2,'Stride’,2)
16	convolution2dLayer	(3,32,'Padding’,'same’)
17	batchNormalizationLayer	default
18	reluLayer	default
19	convolution2dLayer	(3,32,'Padding’,'same’)
20	batchNormalizationLayer	default
21	reluLayer	default
22	convolution2dLayer	(3,32,'Padding’,'same’)
23	batchNormalizationLayer	default
24	reluLayer	default
25	maxPooling2dLayer	(2,'Stride’,2)
26	convolution2dLayer	(3,64,'Padding’,'same’)
27	batchNormalizationLayer	default
28	reluLayer	default
29	convolution2dLayer	(3,64,'Padding’,'same’)
30	batchNormalizationLayer	default
31	reluLayer	default
32	convolution2dLayer	(3,64,'Padding’,'same’)
33	batchNormalizationLayer	default
34	reluLayer	default
35	maxPooling2dLayer	(2,'Stride’,2)
36	convolution2dLayer	(3,64,'Padding’,'same’)
37	batchNormalizationLayer	default
38	reluLayer	default
39	convolution2dLayer	(3,64,'Padding’,'same’)
40	batchNormalizationLayer	default
41	reluLayer	default
42	convolution2dLayer	(3,64,'Padding’,'same’)
43	batchNormalizationLayer	default
44	reluLayer	default
45	maxPooling2dLayer	(2,'Stride’,2)
46	fullyConnectedLayer	512
47	reluLayer	default
48	dropoutLayer	0,5
49	fullyConnectedLayer	512
50	reluLayer	default
51	dropoutLayer	0,5
52	fullyConnectedLayer	2
53	softmaxLayer	default
54	classificationLayer	default