Automatic Segmentation of Dermoscopic Images by Iterative Classification
Joint Authors
Schopf, Thomas R.
Kirchesch, Herbert M.
Skrøvseth, Stein Olav
Godtliebsen, Fred
Zortea, Maciel
Source
International Journal of Biomedical Imaging
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-07-17
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Accurate detection of the borders of skin lesions is a vital first step for computer aided diagnostic systems.
This paper presents a novel automatic approach to segmentation of skin lesions that is particularly suitable for analysis of dermoscopic images.
Assumptions about the image acquisition, in particular, the approximate location and color, are used to derive an automatic rule to select small seed regions, likely to correspond to samples of skin and the lesion of interest.
The seed regions are used as initial training samples, and the lesion segmentation problem is treated as binary classification problem.
An iterative hybrid classification strategy, based on a weighted combination of estimated posteriors of a linear and quadratic classifier, is used to update both the automatically selected training samples and the segmentation, increasing reliability and final accuracy, especially for those challenging images, where the contrast between the background skin and lesion is low.
American Psychological Association (APA)
Zortea, Maciel& Skrøvseth, Stein Olav& Schopf, Thomas R.& Kirchesch, Herbert M.& Godtliebsen, Fred. 2011. Automatic Segmentation of Dermoscopic Images by Iterative Classification. International Journal of Biomedical Imaging،Vol. 2011, no. 2011, pp.1-19.
https://search.emarefa.net/detail/BIM-512579
Modern Language Association (MLA)
Zortea, Maciel…[et al.]. Automatic Segmentation of Dermoscopic Images by Iterative Classification. International Journal of Biomedical Imaging No. 2011 (2011), pp.1-19.
https://search.emarefa.net/detail/BIM-512579
American Medical Association (AMA)
Zortea, Maciel& Skrøvseth, Stein Olav& Schopf, Thomas R.& Kirchesch, Herbert M.& Godtliebsen, Fred. Automatic Segmentation of Dermoscopic Images by Iterative Classification. International Journal of Biomedical Imaging. 2011. Vol. 2011, no. 2011, pp.1-19.
https://search.emarefa.net/detail/BIM-512579
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-512579