Guide-linked quiz · Medium Level

Dice Coefficient and Segmentation Metrics Quiz

Calculate and interpret Dice and IoU, distinguish overlap from boundary metrics, and identify aggregation and spacing choices.

Question 1 of 8

Which counts appear in the binary Dice formula's denominator?

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Answers and explanations appear as you take the quiz.

  1. Which counts appear in the binary Dice formula's denominator?
    • TP plus FP plus FN
    • TP plus TN plus FP plus FN
    • 2TP plus FP plus FN
    • TP plus FN
  2. A Dice score of one for nonempty masks indicates what?
    • The prediction can miss reference foreground without reducing the score
    • Predicted and reference masks match exactly
    • Equal volumes suffice even if the regions occupy different locations
    • Only the fraction of correctly labeled background pixels matters
  3. What does IoU measure?
    • Reference region size divided by predicted region size
    • 2TP divided by 2TP plus FP plus FN
    • Mean distance between predicted and reference boundaries
    • Intersection divided by union
  4. Which metric is especially sensitive to one distant boundary error?
    • Hausdorff distance
    • Mean surface distance between boundaries
    • Intersection over union
    • Average symmetric surface distance
  5. How can averaging per-case Dice differ from pooling all pixels first?
    • Pooling pixels gives every case equal influence
    • Per-case averaging weights larger masks more heavily
    • Per-case averaging weights cases equally; pooling weights them by their Dice denominators
    • Macro averaging necessarily pools all foreground pixels before scoring
  6. Why document how background is handled in multiclass Dice?
    • Background inclusion necessarily leaves a pooled score unchanged
    • Background pixels can dominate counts and alter the summary
    • Excluding background always lowers every foreground-class score
    • Background handling affects boundary distance but never overlap
  7. Why use physical spacing for boundary distances in medical scans?
    • Distances measured in voxels have the same physical scale across scans
    • Dice should be multiplied by voxel spacing to become physical
    • Using spacing makes all scans have identical resolution
    • Voxel dimensions may represent different physical distances
  8. Which conclusion is warranted by high average Dice alone?
    • Masks overlap well on average under the stated calculation
    • Every individual case has perfect overlap
    • Boundary accuracy is necessarily high
    • The annotations and clinical outcomes are necessarily correct

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