Color segmentation using neural networks - an application to dermatology

Yova, D; Delibasis, AK; Papaodysseus, C

dc.contributor.author	Yova, D	en
dc.contributor.author	Delibasis, AK	en
dc.contributor.author	Papaodysseus, C	en
dc.date.accessioned	2014-03-01T01:48:31Z
dc.date.available	2014-03-01T01:48:31Z
dc.date.issued	1999	en
dc.identifier.issn	0277786X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25507
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0032680516&partnerID=40&md5=93693c6a3abd4b1a9175f26f7bb61c05	en
dc.subject.other	Color image processing	en
dc.subject.other	Image segmentation	en
dc.subject.other	Medical imaging	en
dc.subject.other	Neural networks	en
dc.subject.other	Oncology	en
dc.subject.other	Skin	en
dc.subject.other	Dermatology	en
dc.subject.other	Kohonen model	en
dc.subject.other	Self organizing maps (SOM)	en
dc.subject.other	Biomedical engineering	en
dc.title	Color segmentation using neural networks - an application to dermatology	en
heal.type	journalArticle	en
heal.publicationDate	1999	en
heal.abstract	The incidence of malignant melanoma, which is the most lethal skin cancer, has risen around the world more than fifteen times over the last 50 years and continues to increase. Diagnosis of skin tumors can be automated based on the introduction of digital imaging in dermatology. Automated diagnosis is based on certain physical features and color information that are characteristic of benign, dysplastic or malignant tissue. In this paper, the research is addressed towards the problem of segmentation of digital images based on color information and specifically was selected a feature called variegated coloring. Neural networks - Kohonen model - were used for the automatic identification of variegated coloring and Self Organizing Maps (SOMs) were applied to the segmentation of color images of skin cancer. A set of 12 images was used, and the results were compared with the segmentation procedure of a clinical expert. The results have shown that the Kohonen model of neural networks can utilize the chromatic information of color skin images to successfully segment skin cancers, from the surrounding skin.	en
heal.publisher	Society of Photo-Optical Instrumentation Engineers, Bellingham, WA, United States	en
heal.journalName	Proceedings of SPIE - The International Society for Optical Engineering	en
dc.identifier.volume	3567	en
dc.identifier.spage	156	en
dc.identifier.epage	163	en