Improving early recognition of malignant melanomas by digital image analysis in dermatoscopy

A. Horsch, W. Stolz, A. Neiß, W. Abmayr, R. Pompl, A. Bernklau, W. Bunk, D. R. Dersch, A. Gläßl, R. Schiffner, G. Morfill

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

Abstract

The malignant melanoma (MM) is the most dangerous human skin disease. The incidence increased dramatically during the last years. The only chance for the patient is an early recognition and excision of the MM. The best diagnostic method for this is skin surface microscopy or dermatoscopy. Its use, however, requires much expertise. In order to support learning and using the method, a computer-based dermatoscopy workstation is being developed. Among others, new complexity measures are used for the image analysis.

Original languageEnglish
Title of host publicationMedical Informatics Europe 1997, MIE 1997
PublisherIOS Press
Pages531-535
Number of pages5
ISBN (Print)9051993439, 9789051993431
DOIs
StatePublished - 1997
Event14th Conference on Medical Informatics Europe 1997, MIE 1997 - Thessaloniki, Greece
Duration: 25 May 199729 May 1997

Publication series

NameStudies in Health Technology and Informatics
Volume43
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference14th Conference on Medical Informatics Europe 1997, MIE 1997
Country/TerritoryGreece
CityThessaloniki
Period25/05/9729/05/97

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