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Table 9 A summary of segmentation evaluation metrics

From: Survey statistics of automated segmentations applied to optical imaging of mammalian cells

Measures based on Metric name Cellular measurement Reference
Number of Mis-segmented voxels Jaccard Synthetic [65]
Dice Cell [120, 129, 154]
Synthetic [154]
Other [66]
F-Measure Synthetic [155]
Adjusted Rand Index Cell [122]
Custom measure Nucleus [61]
Cell [67]
  Misclassification error Nucleus [156]
Other [156]
Accuracy (ACC) Cell [157, 158]
Position of mis-segmented voxels Average distance Cell [56]
Synthetic [117]
Other [116]
Root square mean of deviation Synthetic [159]
Histogram of distances Nucleus [138]
Number of objects Object count Nucleus [55, 56, 123, 160162]
Cell [81, 119, 163]
Precision/Recall Nucleus [54, 84]
Cell [44, 69, 84, 127]
F-measure Nucleus [84]
Cell [69, 84]
Bias index Cell [69]
Sensitivity Nucleus [138, 164]
Custom measure Cell [67]
Cell detection rate Cell [165]
Feature values of segmented objects Velocity histogram Cell [166]
Object position Nucleus [167]
Cell [151, 163, 166]
Synthetic [168]
Pearson’s correlation slope and intercept for velocity measurements Cell [166]
Voxel intensity based Synthetic [159]
Other [73]
Object area and shape based Cell [151]
Other [73]
Structural index Cell [151]