Name
Abstract | ||
|---|---|---|
This paper presents a method for the segmentation of skin lesions in dermoscopy images. The proposed technique uses region based level sets and adopts a mixture of Gaussian den- sities as the probabilistic model for both the lesion and the skin regions. The Estimation-Maximization (EM) algorithm is used to estimate the probability density functions in each region. Experimental results which demonstrate the effective- ness of the proposed technique are presented. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISBI.2008.4540960 | ISBI |
Keywords | Field | DocType |
Gaussian processes,density functional theory,expectation-maximisation algorithm,image segmentation,medical image processing,skin,Gaussian density,dermoscopy image,estimation maximization algorithm,level set segmentation,probabilistic model,probability density function,skin lesion,EM-algorithm,dermoscopy,level sets,segmentation | Computer vision,Pattern recognition,Segmentation,Computer science,Expectation–maximization algorithm,Level set,Image segmentation,Gaussian,Statistical model,Gaussian process,Artificial intelligence,Probability density function | Conference |
ISSN | Citations | PageRank |
1945-7928 | 3 | 0.67 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Margarida Silveira | 1 | 109 | 10.48 |
| Jorge S. Marques | 2 | 535 | 67.78 |