From: Automated lesion detection on MRI scans using combined unsupervised and supervised methods
 | Accuracy | Precision | Recall | Dice |
---|---|---|---|---|
Using the proposed enantiomorphic normalization | Â | |||
Initial LPM | 0.964±0.012 | 0.555±0.196 | 0.589±0.151 | 0.548±0.168 |
Unsupervised classification | 0.981±0.012 | 0.665±0.183 | 0.671±0.140 | 0.663±0.161 |
Combined classification | 0.983±0.011 | 0.780±0.144 | 0.684±0.136 | 0.731±0.106 |
Using the ground-truth lesion mask for USN | Â | |||
Initial LPM | 0.971±0.012 | 0.608±0.193 | 0.587±0.147 | 0.595±0.163 |
Unsupervised classification | 0.981±0.012 | 0.691±0.174 | 0.678±0.138 | 0.677±0.164 |
Combined classification | 0.985±0.010 | 0.794±0.141 | 0.701±0.127 | 0.743±0.101 |