Tumor Segmentation in Contrast-Enhanced Magnetic Resonance Imaging for Nasopharyngeal Carcinoma: Deep Learning with Convolutional Neural Network
Table 1
Detailed parameters of the CNN network.
Block
Layer
Kernel size
Stride
Pad
Output size
Input Data
-
-
-
-
1441441
Conv-Relu 1
Conv1
5
1
2
14414480
Relu1
-
-
-
14414480
Pool-Conv-Relu 1
Pool1
2
2
-
727280
Conv2
5
1
2
7272120
Relu2
-
-
-
7272120
Pool-Conv-Relu 2
Pool2
2
2
-
3636120
Conv3
9
1
4
3636500
Relu3
-
-
-
3636500
Conv-Relu 2
Conv4
1
1
0
3636300
Relu4
-
-
-
3636300
Conv-Relu 3
Conv5
3
1
1
3636100
Relu5
-
-
-
3636100
Conv-Relu 4
Conv6
3
1
1
36361
Relu6
-
-
-
36361
Deconv1
Deconv1
4
2
1
72721
Concatenate1
Concat1
-
-
-
7272121
Conv-Relu 5
Conv7
1
1
0
72721
Relu7
-
-
-
72721
Deconv2
Deconv2
4
2
1
1441441
Concatenate2
Concat2
-
-
-
14414481
Conv6
Conv8
1
1
0
1441441
Output
Flatten1
-
-
-
1441441
We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.