Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Kediska Metrics Coefficient and Segmentation Metrics

Xisaabi oo turjun Laadhuu iyo IoU, kala saar isku-dhafka iyo cabbirada xadka, oo cadee isku-darka iyo doorashooyinka kala dheereynta.

Wadooyinka haga ee la xidhiidhaMetrics Qaybinta Iskuxidhka Laadhuu
Su'aal 1 ee 8

Waa kuwee tirooyinka ka muuqda hooseeyaha qaaciddada binary?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Waa kuwee tirooyinka ka muuqda hooseeyaha qaaciddada binary?
    • 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. Muxuu cabbiraa IoU?
    • 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. Halbeegkee ayaa si gaar ah xasaasi ugu ah hal qalad oo xuduud fog ah?
    • Hausdorff distance
    • Mean surface distance between boundaries
    • Intersection over union
    • Average symmetric surface distance
  5. Sidee celceliska kiis kasta Dice uga duwanaan karaa isku-darka dhammaan pixels marka hore?
    • 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. Waa maxay sababta loo diiwaangeliyo sida asalka loogu maamulo laadhuu heersare ah?
    • 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