Comparison of segmentation methods for automatic diagnosis of dermoscopy images.

• Type: Article in International Scientific Journal
• Date: 2007

Authors

Mendonca, T (Author) FCUP; Marcal, AR (Author) Other; Vieira, A (Author) Other; Nascimento, JC (Author) Other; Silveira, M (Author) Other; Marques, JS (Author) Other; Rozeira, J (Author) Other

Journal

The Journal is awaiting validation by the Administrative Services.

Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

Pages: 6573-6576

ISSN: 1557-170X

Indexing

Scopus - 14 Citations

Other information

Authenticus ID: P-00X-9DY

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific