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

Table 4.

Accuracy results for classification of anatomical types for IEEE ISBI 2015 Challenge Dataset 2.7

Reference IEEE ISBI 2015 Challenge Dataset 2
  Confusion matrix (proposed) Diagonal average (proposed, %) Diagonal average28,3335 (%) Diagonal average37 (%)
ANB
  Type 1 (%) Type 2 (%) Type 3 (%) 77.31
76.64
75.83
Type 1 61.29 3.23 35.48
Type 2 18.52 77.78 3.70
Type 3
7.14
0.00
92.86
SNB
  Type 1 Type 2 Type 3 69.81
75.24
81.92
Type 1 58.06 12.90 29.03
Type 2 23.08 69.23 7.69
Type 3
16.07
1.79
82.14
SNA
  Type 1 Type 2 Type 3 66.72
70.24
77.97
Type 1 60.47 20.93 18.60
Type 2 22.50 75.00 2.50
Type 3
29.41
5.88
64.70
ODI
  Type 1 Type 2 Type 3 72.28
63.71
71.26
Type 1 72.22 7.41 20.37
Type 2 35.00 60.00 5.00
Type 3
11.54
3.85
84.62
APDI
  Type 1 Type 2 Type 3 87.18
79.93
87.25
Type 1 76.19 14.29 9.52
Type 2 4.55 90.91 4.55
Type 3
5.56
0.00
94.44
FHI
  Type 1 Type 2 Type 3 69.16
86.74
90.90
Type 1 82. 98 2.13 14.89
Type 2 0.00 50.00 50.00
Type 3
23.53
1.96
74.51
FMA
  Type 1 Type 2 Type 3 78.01
78.90
80.66
Type 1 60.71 35.71 3.57
Type 2 8.33 90.00 1.67
Type 3
8.33
8.33
83.33
MW   Type 1 Type 2 Type 3 77.45 77.53 82.11
Type 1 78.05 9.76 12.20
Type 2 15.38 84.62 0.00
Type 3 21.21 9.09 69.70