Cargando…
An improved border detection in dermoscopy images for density based clustering
BACKGROUND: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. In current practice, dermatologists determine lesion area by manually drawing lesion borders. Therefore, automated assessment tools for dermoscopy images have become an i...
Autores principales: | Suer, Sait, Kockara, Sinan, Mete, Mutlu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3236834/ https://www.ncbi.nlm.nih.gov/pubmed/22166058 http://dx.doi.org/10.1186/1471-2105-12-S10-S12 |
Ejemplares similares
-
Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images
por: Kockara, Sinan, et al.
Publicado: (2010) -
Abrupt skin lesion border cutoff measurement for malignancy detection in dermoscopy images
por: Kaya, Sertan, et al.
Publicado: (2016) -
Density-based parallel skin lesion border detection with webCL
por: Lemon, James, et al.
Publicado: (2015) -
A soft kinetic data structure for lesion border detection
por: Kockara, Sinan, et al.
Publicado: (2010) -
Lesion detection in demoscopy images with novel density-based and active contour approaches
por: Mete, Mutlu, et al.
Publicado: (2010)