Automatic Segmentation of Dermoscopic Images by Iterative Classification
Figure 5
Average values of the accuracy of segmentation, quantified by the four distinct border measures, showing the performance of the proposed ICS method against the different segmentation methods analyzed. The lesions are grouped in three disjoint sets: low, intermediate, and high contrast between skin and lesion. The mask generate by majority voting of the manual segmentation by three dermatologists is used as ground-truth reference. The bars refer to low (orange), medium (blue), and high (pink) contrast lesions.
(a) Sensitivity
(b) Specificity
(c) Percentage of the contour with an error ≤0.5 mm
