DocumentCode :
3081677
Title :
Melanocytic skin lesion image classification. Part I: Recognition of skin lesion
Author :
Cudek, Pawel ; Grzymala-Busse, Jerzy W. ; Hippe, Zdzislaw S.
Author_Institution :
Univ. of Inf. Technol. & Manage., Rzeszów, Poland
fYear :
2010
fDate :
13-15 May 2010
Firstpage :
251
Lastpage :
257
Abstract :
This paper presents a method for automatic identification skin lesion from of a digital image. Some techniques allow the acquisition of a melanocytic skin lesion using the well-known ABCD rule.
Keywords :
image classification; image segmentation; medical image processing; ABCD rule; automatic identification skin lesion; digital image; image segmentation; melanocytic skin lesion acquisition; melanocytic skin lesion image classification; skin lesion recognition; Biomedical imaging; Cancer; Digital images; Image classification; Image segmentation; Lesions; Machine learning algorithms; Malignant tumors; Medical diagnostic imaging; Skin; ABCD rule; melanoma; segmentation; skin lesion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Human System Interactions (HSI), 2010 3rd Conference on
Conference_Location :
Rzeszow
Print_ISBN :
978-1-4244-7560-5
Type :
conf
DOI :
10.1109/HSI.2010.5514558
Filename :
5514558
Link To Document :
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