Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
534922 | Pattern Recognition Letters | 2010 | 4 Pages |
Abstract
⺠Simplified PRI expression for image segmentation into 2 classes (lesion/healthy skin). ⺠Misclassified pixels worsen (decrease) PRI if <50%, but improve (increase) it if >50%. ⺠NPRI (linear rescaling of PRI) suffers from same shortcoming. ⺠(N)PRI not better than XOR metric if misclassification is low, strictly worse if high.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Enoch Peserico, Alberto Silletti,