Novel Discrete Compactness-Based Training for Vector Quantization Networks: Enhancing Automatic Brain Tissue Classification

Table 12

Winner brain tissues collected in each class of network topology 𝜏^DC₂. The results group all counts for all the evaluation images in the second set.

Class	Tissue 0	Tissue 1	Tissue 2	Tissue 3	Tissue 4	Tissue 5	Tissue 6	Tissue 7	Tissue 8	Tissue 9	Winner tissue
0	70	0	0	0	111	0	0	0	0	0	4
1	181	0	0	0	0	0	0	0	0	0	0
2	10	0	0	0	171	0	0	0	0	0	4
3	0	73	0	0	0	0	108	0	0	0	6
4	8	0	0	77	0	0	0	0	0	96	9
5	181	0	0	0	0	0	0	0	0	0	0
6	127	0	0	0	54	0	0	0	0	0	0
7	53	0	0	0	128	0	0	0	0	0	4
8	6	0	0	120	0	0	0	0	0	55	3
9	10	0	0	0	171	0	0	0	0	0	4
10	0	0	118	0	0	63	0	0	0	0	2
11	82	0	0	0	99	0	0	0	0	0	4
12	59	0	0	0	122	0	0	0	0	0	4
13	47	0	0	0	134	0	0	0	0	0	4
14	42	0	0	0	139	0	0	0	0	0	4
15	11	0	0	0	0	0	127	43	0	0	6
16	63	0	0	0	118	0	0	0	0	0	4
17	26	0	0	0	155	0	0	0	0	0	4
18	10	0	0	0	171	0	0	0	0	0	4
19	9	0	0	0	171	0	0	0	0	1	4