Table 7 Results using MobileNet.

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

Epoch

Loss

Accuracy

Validation loss

Validation accuracy

1

10.5909

0.2944

3.1506

0.3706

2

3.0834

0.4543

1.5952

0.5584

3

1.8043

0.5406

1.2065

0.6041

4

1.2480

0.5964

0.8680

0.6954

5

0.8917

0.6599

0.6451

0.7843

6

0.7157

0.7589

0.5152

0.8020

7

0.5368

0.7995

0.5240

0.8122

8

0.5590

0.7716

0.4080

0.8528

9

0.4837

0.8173

0.3575

0.8680

10

0.3360

0.8731

0.3763

0.8604

11

0.3543

0.8655

0.5688

0.7665

12

0.3737

0.8579

0.3754

0.8350

13

0.3036

0.8782

0.2503

0.9264

14

0.3103

0.9061

0.3248

0.8731

15

0.2478

0.9010

0.2584

0.9137

16

0.2511

0.9061

0.1934

0.9239

17

0.2706

0.8959

0.2233

0.9264

18

0.1957

0.9340

0.2007

0.9315

19

0.1771

0.9416

0.1518

0.9569

20

0.1682

0.9391

0.1459

0.9619

21

0.1745

0.9518

0.2095

0.9289

22

0.1868

0.9162

0.1731

0.9340

23

0.1887

0.9543

0.1455

0.9518

24

0.1400

0.9594

0.1292

0.9594

25

0.1648

0.9416

0.1260

0.9645

26

0.1178

0.9721

0.0915

0.9797

27

0.1475

0.9645

0.1583

0.9442

28

0.2549

0.9061

0.1377

0.9594

29

0.1572

0.9492

0.1017

0.9746

30

0.1502

0.9518

0.1381

0.9176