Table 4.
Lesion-detection performance using the full version of the proposed method, i.e., up to Section “Step 7): Combined classification”, under different ω 1, ω 2, and ω 3
ω 1 | ω 2 | ω 3 | Accuracy | Precision | Recall | Dice |
---|---|---|---|---|---|---|
0.1 | 0.1 | 0.8 | 0.982±0.012 | 0.785±0.139 | 0.669±0.138 | 0.722±0.118 |
0.1 | 0.2 | 0.7 | 0.983±0.011 | 0.780±0.144 | 0.684±0.136 | 0.728±0.112 |
0.1 | 0.3 | 0.6 | 0.983±0.011 | 0.783±0.143 | 0.685±0.131 | 0.731±0.106 |
0.1 | 0.4 | 0.5 | 0.983±0.011 | 0.789±0.138 | 0.680±0.133 | 0.730±0.111 |
0.1 | 0.5 | 0.4 | 0.983±0.011 | 0.792±0.137 | 0.675±0.135 | 0.729±0.112 |
0.1 | 0.6 | 0.3 | 0.983±0.011 | 0.787±0.140 | 0.675±0.134 | 0.727±0.113 |
0.1 | 0.7 | 0.2 | 0.982±0.011 | 0.787±0.139 | 0.672±0.135 | 0.725±0.112 |
0.1 | 0.8 | 0.1 | 0.983±0.011 | 0.787±0.141 | 0.665±0.147 | 0.721±0.114 |
0.2 | 0.1 | 0.7 | 0.982±0.011 | 0.776±0.149 | 0.685±0.133 | 0.728±0.112 |
0.2 | 0.2 | 0.6 | 0.983±0.011 | 0.783±0.141 | 0.684±0.133 | 0.730±0.112 |
0.2 | 0.3 | 0.5 | 0.983±0.011 | 0.788±0.138 | 0.679±0.133 | 0.729±0.112 |
0.2 | 0.4 | 0.4 | 0.983±0.011 | 0.792±0.136 | 0.673±0.134 | 0.728±0.112 |
0.2 | 0.5 | 0.3 | 0.983±0.011 | 0.788±0.137 | 0.674±0.134 | 0.727±0.113 |
0.2 | 0.6 | 0.2 | 0.983±0.011 | 0.787±0.137 | 0.669±0.139 | 0.723±0.113 |
0.2 | 0.7 | 0.1 | 0.983±0.011 | 0.785±0.139 | 0.666±0.148 | 0.721±0.114 |
0.3 | 0.1 | 0.6 | 0.983±0.011 | 0.782±0.140 | 0.684±0.135 | 0.730±0.112 |
0.3 | 0.2 | 0.5 | 0.983±0.011 | 0.788±0.136 | 0.677±0.134 | 0.728±0.112 |
0.3 | 0.3 | 0.4 | 0.983±0.011 | 0.790±0.135 | 0.673±0.135 | 0.727±0.112 |
0.3 | 0.4 | 0.3 | 0.982±0.011 | 0.787±0.136 | 0.673±0.137 | 0.726±0.113 |
0.3 | 0.5 | 0.2 | 0.983±0.011 | 0.787±0.135 | 0.668±0.141 | 0.723±0.114 |
0.3 | 0.6 | 0.1 | 0.982±0.011 | 0.784±0.138 | 0.665±0.137 | 0.720±0.114 |
0.4 | 0.1 | 0.5 | 0.983±0.011 | 0.786±0.137 | 0.678±0.133 | 0.728±0.111 |
0.4 | 0.2 | 0.4 | 0.983±0.011 | 0.787±0.137 | 0.675±0.134 | 0.727±0.112 |
0.4 | 0.3 | 0.3 | 0.983±0.011 | 0.787±0.139 | 0.672±0.134 | 0.725±0.112 |
0.4 | 0.4 | 0.2 | 0.983±0.011 | 0.786±0.139 | 0.668±0.141 | 0.722±0.114 |
0.4 | 0.5 | 0.1 | 0.983±0.011 | 0.783±0.140 | 0.664±0.143 | 0.719±0.114 |
0.5 | 0.1 | 0.4 | 0.983±0.011 | 0.787±0.139 | 0.674±0.136 | 0.726±0.113 |
0.5 | 0.2 | 0.3 | 0.983±0.011 | 0.785±0.140 | 0.672±0.137 | 0.724±0.112 |
0.5 | 0.3 | 0.2 | 0.983±0.011 | 0.784±0.141 | 0.668±0.143 | 0.721±0.114 |
0.5 | 0.4 | 0.1 | 0.983±0.011 | 0.783±0.143 | 0.662±0.145 | 0.717±0.117 |
0.6 | 0.1 | 0.3 | 0.983±0.011 | 0.783±0.142 | 0.672±0.137 | 0.723±0.112 |
0.6 | 0.2 | 0.2 | 0.983±0.011 | 0.782±0.142 | 0.668±0.144 | 0.721±0.114 |
0.6 | 0.3 | 0.1 | 0.983±0.011 | 0.782±0.142 | 0.662±0.146 | 0.717±0.120 |
0.7 | 0.1 | 0.2 | 0.983±0.011 | 0.781±0.144 | 0.668±0.142 | 0.720±0.113 |
0.7 | 0.2 | 0.1 | 0.983±0.011 | 0.782±0.144 | 0.661±0.150 | 0.716±0.123 |
0.8 | 0.1 | 0.1 | 0.983±0.011 | 0.781±0.146 | 0.660±0.153 | 0.715±0.129 |