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?
Preview every question8 questions
Answers and explanations appear as you take the quiz.
- 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
- 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
- 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
- Which metric is especially sensitive to one distant boundary error?
- Hausdorff distance
- Mean surface distance between boundaries
- Intersection over union
- Average symmetric surface distance
- 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
- 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
- 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
- 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
Keep testing yourself
More quizzes picked for your level.