image segmentation

How is Quality of Segmentation Assessed?

Assessing the quality of segmentation is crucial for ensuring reliable results. Common metrics include:
Dice Coefficient: Measures the overlap between the segmented region and the ground truth.
Jaccard Index: Similar to the Dice coefficient but slightly stricter in its calculation of overlap.
Precision and Recall: Evaluates the accuracy of the segmentation in terms of correct positive and negative classifications.
F1 Score: The harmonic mean of precision and recall, providing a balance between the two.

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