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. 2017 Jan 6;4(1):014501. doi: 10.1117/1.JMI.4.1.014501

Table 3.

Accuracy results for classification of anatomical types for IEEE ISBI 2015 Challenge Dataset 1.7

Reference IEEE ISBI 2015 Challenge Dataset 1
  Confusion matrix (proposed) Diagonal average (proposed, %) Diagonal average28,3335 (%) Diagonal average37 (%)
ANB
  Type 1 (%) Type 2 (%) Type 3 (%) 61.47
59.42
64.99
Type 1 46.15 10.26 43.59
Type 2 40.00 51.43 8.57
Type 3
11.84
1.32
86.84
SNB
  Type 1 Type 2 Type 3 70.11
71.09
84.52
Type 1 71.43 14.29 14.29
Type 2 33.33 58.33 8.33
Type 3
17.47
1.94
80.58
SNA
  Type 1 Type 2 Type 3 63.57
59.00
68.45
Type 1 60.00 10.00 30.00
Type 2 34.94 56.63 8.43
Type 3
18.52
7.41
74.07
ODI
  Type 1 Type 2 Type 3 75.04
78.04
84.64
Type 1 70.97 17.74 11.29
Type 2 26.67 73.33 0.00
Type 3
19.18
0.00
80.82
APDI
  Type 1 Type 2 Type 3 82.38
80.16
82.14
Type 1 72.5 15.00 12.50
Type 2 15.79 81.58 2.63
Type 3
6.94
0.00
93.06
FHI
  Type 1 Type 2 Type 3 65.92
58.97
67.92
Type 1 87.88 6.06 6.06
Type 2 66.67 33.33 0.00
Type 3
23.46
0.00
76.54
FMA
  Type 1 Type 2 Type 3 73.90
77.03
75.54
Type 1 61.76 26.47 11.76
Type 2 10.75 86.02 3.23
Type 3
21.74
4.35
73.91
MW   Type 1 Type 2 Type 3 81.31 83.94 82.19
Type 1 77.78 11.11 11.11
Type 2 11.29 87.10 1.61
Type 3 9.30 11.63 79.07