Skin Lesion Segmentation in Dermoscopic Images with Combination of YOLO and GrabCut Algorithm

Skin lesion segmentation has a critical role in the early and accurate diagnosis of skin cancer by computerized systems. However, automatic segmentation of skin lesions in dermoscopic images is a challenging task owing to difficulties including artifacts (hairs, gel bubbles, ruler markers), indistin...

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Detalles Bibliográficos
Autores principales: Ünver, Halil Murat, Ayan, Enes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787581/
https://www.ncbi.nlm.nih.gov/pubmed/31295856
http://dx.doi.org/10.3390/diagnostics9030072

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787581/
https://www.ncbi.nlm.nih.gov/pubmed/31295856
http://dx.doi.org/10.3390/diagnostics9030072

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