DocumentCode :
1857626
Title :
Comparison of Segmentation Methods for Automatic Diagnosis of Dermoscopy Images
Author :
Mendonca, T. ; Marcal, A.R.S. ; Vieira, A. ; Nascimento, J.C. ; Silveira, M. ; Marques, J.S. ; Rozeira, J.
Author_Institution :
Univ. do Porto, Porto
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
6572
Lastpage :
6575
Abstract :
Dermoscopy is a non-invasive diagnostic technique for the in vivo observation of pigmented skin lesions used in dermatology. There is currently a great interest in the prospects of automatic image analysis methods for dermoscopy, both to provide quantitative information about a lesion, which can be of relevance for the clinician, and as a stand alone early warning tool. The effective implementation of such a tool could lead to a reduction in the number of cases selected for exeresis, with obvious benefits both to the patients and to the health care system. The standard approach in automatic dermoscopic image analysis has usually three stages: (i) image segmentation, (ii) feature extraction and feature selection, (iii) lesion classification. This paper presents a comparison of segmentation methods applied to 50 dermoscopic image analysis, along with a clinical evaluation of each segmentation result performed by an experienced dermatologist.
Keywords :
biomedical optical imaging; feature extraction; image classification; image segmentation; medical image processing; skin; automatic image analysis; dermatology; dermoscopy images; feature extraction; feature selection; image segmentation; lesion classification; noninvasive diagnostic technique; pigmented skin lesions; Active contours; Feature extraction; Image analysis; Image segmentation; In vivo; Lesions; Medical services; Performance evaluation; Pigmentation; Skin; Algorithms; Dermoscopy; Humans; Image Interpretation, Computer-Assisted; Skin Diseases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4353865
Filename :
4353865
Link To Document :
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