Table 6 Results using Xception Net.

From: Comprehensive brain tumour concealment utilizing peak valley filtering and deeplab segmentation

Epoch

Loss

Accuracy

Validation loss

Validation accuracy

1

4.1377

0.2944

2.5886

0.3782

2

1.5245

0.4797

1.2855

0.4848

3

0.9797

0.6117

0.8722

0.6371

4

0.7878

0.6777

0.7119

0.7284

5

0.7078

0.7183

0.6207

0.7741

6

0.6467

0.7589

0.6272

0.7437

7

0.6132

0.7589

0.5182

0.8553

8

0.6162

0.7437

0.6390

0.7335

9

0.6164

0.7411

0.4327

0.8680

10

0.4870

0.8477

0.4842

0.8122

11

0.4941

0.8223

0.3796

0.8832

12

0.4806

0.8122

0.5859

0.7716

13

0.5012

0.7843

0.3329

0.9086

14

0.4248

0.8249

0.4060

0.8553

15

0.4332

0.8299

0.3516

0.8883

16

0.4090

0.8401

0.3871

0.8553

17

0.3672

0.8731

0.2934

0.9137

18

0.3251

0.8832

0.3150

0.8909

19

0.3080

0.9061

0.2319

0.9518

20

0.2714

0.9162

0.2194

0.9416

21

0.2728

0.9137

0.2050

0.9492

22

0.2864

0.8832

0.2479

0.9162

23

0.2442

0.9239

0.2011

0.9416

24

0.2325

0.9315

0.1695

0.9695

25

0.2526

0.8985

0.1892

0.9518

26

0.2284

0.9289

0.2107

0.9340

27

0.2205

0.9340

0.1853

0.9543

28

0.2059

0.9416

0.1607

0.9518

29

0.2518

0.9137

0.2820

0.8832

30

0.2729

0.9061

0.2118

0.8921