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.

Research article in edited proceedings (conference) | Peer reviewed

Abstract

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 about the publication

Page range1042null
Publishing companyIOP Publishing
Title of seriesStudies in Health Technology and Informatics (ISSN: 0926-9630)
Volume of series216
StatusPublished
Release year2015
Language in which the publication is writtenEnglish
Conference15th World Congress on Health and Biomedical Informatics, MEDINFO 2015, Sao Paulo, undefined
ISBN9781614995630
DOI10.3233/978-1-61499-564-7-1042
Link to the full texthttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84951926564&origin=inward
Keywordsdigital image detection; Image processing; prurigo nodularis

Authors from the University of Münster

Bruland, Philipp
Institute of Medical Informatics
Schedel, Fiona
Clinic for Dermatology
Ständer, Sonja
Clinic for Dermatology