Table 1 Convolution and pooling layer parameter setting.

From: IOUC-3DSFCNN: Segmentation of Brain Tumors via IOU Constraint 3D Symmetric Full Convolution Network with Multimodal Auto-context

Type

Filter size

Input

Output

Input filters

Output filters

Cov_1

3 × 3 × 3

128 × 128 × 128

128 × 128 × 128

4

32

Cov_2

3 × 3 × 3

128 × 128 × 128

128 × 128 × 128

32

64

Pooling_1

2 × 2 × 2

128 × 128 × 128

64 × 64 × 64

64

64

Pooling_2

2 × 2 × 2

64 × 64 × 64

32 × 32 × 32

128

128

Pooling_3

2 × 2 × 2

32 × 32 × 32

16 × 16 × 16

256

256

Pooling_4

2 × 2 × 2

16 × 16 × 16

8 × 8 × 8

512

512

Pooling_5

2 × 2 × 2

8 × 8 × 8

4 × 4 × 4

1024

1024

Cov_3

3 × 3 × 3

4 × 4 × 4

4 × 4 × 4

1024

2048

Cov_4

3 × 3 × 3

4 × 4 × 4

4 × 4 × 4

2048

4096

Cov_5

3 × 3 × 3

8 × 8 × 8

8 × 8 × 8

5120

1024

Cov_6

3 × 3 × 3

8 × 8 × 8

8 × 8 × 8

1024

512

Cov_7

3 × 3 × 3

16 × 16 × 16

16 × 16 × 16

1024

512

Cov_8

3 × 3 × 3

16 × 16 × 16

16 × 16 × 16

512

256

Cov_9

3 × 3 × 3

32 × 32 × 32

32 × 32 × 32

512

256

Cov_10

3 × 3 × 3

32 × 32 × 32

32 × 32 × 32

256

128

Cov_11

3 × 3 × 3

64 × 64 × 64

64 × 64 × 64

256

128

Cov_12

3 × 3 × 3

64 × 64 × 64

64 × 64 × 64

128

64

Cov_13

3 × 3 × 3

128 × 128 × 128

128 × 128 × 128

128

64

Cov_14

3 × 3 × 3

128 × 128 × 128

128 × 128 × 128

64

32