Cuestionario vinculado a una guía · Medio Nivel
Cuestionario sobre coeficientes de dados y métricas de segmentación
Calcule e interprete Dice e IoU, distinga la superposición de las métricas de límites e identifique opciones de agregación y espaciado.
Pregunta 1 de 8
¿Qué recuentos aparecen en el denominador de la fórmula binaria de los dados?
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Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.
- ¿Qué recuentos aparecen en el denominador de la fórmula binaria de los dados?
- 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
- ¿Qué mide 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
- ¿Qué métrica es especialmente sensible al error de un límite distante?
- Hausdorff distance
- Mean surface distance between boundaries
- Intersection over union
- Average symmetric surface distance
- ¿En qué se diferencia el promedio de dados por caso de la agrupación de todos los píxeles primero?
- 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
- ¿Por qué documentar cómo se manejan los antecedentes en Dice multiclase?
- 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