Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
536164 | Pattern Recognition Letters | 2007 | 7 Pages |
Abstract
Change monitoring in skin lesion analysis has proven to be a useful adjunct in their assessment. This article presents a comparative study of the available change detection techniques applied to change visualization and quantification in bi-temporal psoriasis images. The chosen methods are evaluated on a time series of psoriasis images and results are compared with dermatologists’ scores.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
David Delgado Gomez, Constantine Butakoff, Bjarne Ersbøll, Jens Michael Carstensen,