PIACS: A System for the Automatic Detection, Categorization and Comparison of Scratch-Related Skin Lesions in Dermatology

Bruland P., Hänse W., Schedel F., Ständer S., Fritz F.

Forschungsartikel in Sammelband (Konferenz) | Peer reviewed

Zusammenfassung

and Objective In the treatment of chronic pruritus-related, scratch-induced skin lesions the categorization, counting and temporal comparison are common methodologies. The observation requires a good memory and expertise in this field to gain comparable findings for this time-consuming process. Digital image processing aims at supporting such manual detections. The objective is to develop a software tool for automatic image detection and comparison. The new photographic setting implies the usage of markers to derive the brightness and size of lesions. MATLAB has been used for the software development. The newly defined setting allows taking standardized images of pruritus-associated cutaneous lesions for detection and comparison. The tool named PIACS (Prurigo Image Analyzing and Comparing System) allows automatically detecting, categorizing and comparing lesions based on digital images.

Details zur Publikation

Seitenbereich1042null
VerlagIOP Publishing
Titel der ReiheStudies in Health Technology and Informatics (ISSN: 0926-9630)
Nr. in Reihe216
StatusVeröffentlicht
Veröffentlichungsjahr2015
Sprache, in der die Publikation verfasst istEnglisch
Konferenz15th World Congress on Health and Biomedical Informatics, MEDINFO 2015, Sao Paulo, undefined
ISBN9781614995630
DOI10.3233/978-1-61499-564-7-1042
Link zum Volltexthttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84951926564&origin=inward
Stichwörterdigital image detection; Image processing; prurigo nodularis

Autor*innen der Universität Münster

Bruland, Philipp
Institut für Medizinische Informatik
Schedel, Fiona
Klinik für Hautkrankheiten - Allgemeine Dermatologie und Venerologie -
Ständer, Sonja
Klinik für Hautkrankheiten - Allgemeine Dermatologie und Venerologie -