From: Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool
Metric | Symb. | Reference of use in medical images | cat. | Definition |
---|---|---|---|---|
Dice (=F1-Measure) | DICE | 1 | (6) | |
Jaccard index | JAC | 1 | (7) | |
True positive rate (Sensitivity, Recall) | TPR | 1 | (10) | |
True negative rate (Specificity) | TNR | 1 | (11) | |
False positive rate (=1-Specificity, Fallout) | FPR | → Specificity | 1 | (12) |
False negative rate (=1-Sensitivity) | FNR | → Sensitivity | 1 | (13) |
F-Measure (F1-Measure=Dice) | FMS | → Dice | 1 | |
Global Consistency Error | GCE | 1 | ||
Volumetric Similarity | VS | 2 | (21) | |
Rand Index | RI | 3 | (30) | |
Adjusted Rand Index | ARI | 3 | (32) | |
Mutual Information | MI | 4 | ||
Variation of Information | VOI | 4 | ||
Interclass correlation | ICC | 5 | (41) | |
Probabilistic Distance | PBD | 5 | (43) | |
Cohens kappa | KAP | 5 | ||
Area under ROC curve | AUC | 5 | (47) | |
Hausdorff distance | HD | 6 | ||
Average distance | AVD | 6 | ||
Mahalanobis Distance | MHD | 6 |