Title | ||
---|---|---|
Automatic change detection and quantification of dermatological diseases with an application to psoriasis images |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1016/j.patrec.2006.12.020 | Pattern Recognition Letters |
Keywords | Field | DocType |
change detection,skin lesion,time series,change monitoring,skin lesion analysis,available change detection technique,bi-temporal psoriasis image,chosen method,dermatological disease,psoriasis image,useful adjunct,comparative study,psoriasis,automatic change detection,image analysis | Change detection,Dermatological diseases,Pattern recognition,Skin lesion,Visualization,Artificial intelligence,Dermatology,Psoriasis,Mathematics | Journal |
Volume | Issue | ISSN |
28 | 9 | Pattern Recognition Letters |
Citations | PageRank | References |
2 | 0.54 | 10 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
David Delgado Gomez | 1 | 62 | 9.67 |
Constantine Butakoff | 2 | 336 | 32.52 |
Bjarne Ersbøll | 3 | 450 | 38.06 |
Jens Michael Carstensen | 4 | 83 | 14.27 |