Automatic Segmentation of Dermoscopic Images by Iterative Classification
Figure 4
Dispersion 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. D1, D2, and D3 corresponds to the manual segmentations provided by dermatologists. SRM, AT, and ICS are automatic methods. LDA, QDA, and SVM are supervised methods that here include only for reference purposes. The accuracy scores are computed using the mask generated by majority voting of the manual segmentations provided by three dermatologists as ground-truth reference.
(a) Sensitivity
(b) Specificity
(c) Percentage of the contour with an error ≤0.5 mm
