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 |