Model Based Approach for Melanoma Segmentation

Autor:	Marcin Kociolek, Karol Kropidlowski, Dariusz Czubinski, Michal Strzelecki
Předmět:	Light intensity Jaccard index Computer-aided diagnosis Computer science business.industry Histogram Scale-space segmentation Segmentation Computer vision Image segmentation Sensitivity (control systems) Artificial intelligence business
Zdroj:	ResearcherID Computer Vision and Graphics ISBN: 9783319113302 ICCVG
Popis:	is no suitable golden standard for assessment and comparison of segmentation methods applied to skin lesions images. Thus there is a need for development of image analysis techniques that satisfy at least subjective criteria defined by dermatologists. We present a model based approach for melanocytic image segmentation as a tool to improve computer aided diagnosis. During the research it was necessary to correct non-uniform image illumination caused by dermatoscope lightning. The correction algorithm based on dermatoscope light intensity estimation was used. The proposed segmentation method is based on histogram skin modeling. Preliminary test results are promising, for the analyzed melanoma images mean Jaccard index of 89.48% and mean sensitivity of 92.45% were obtained (when compared to expert assessment).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc4c5f5ebf27e17d55318be3720964bc http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000348349000042&KeyUID=WOS:000348349000042 Zobrazit plný text záznamu