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.