SDI+: A Novel Algorithm for Segmenting Dermoscopic Images.
IEEE J Biomed Health Inform
; 23(2): 481-488, 2019 03.
Article
em En
| MEDLINE
| ID: mdl-29994446
ABSTRACT
Malignant skin lesions are among the most common types of cancer, and automated systems for their early detection are of fundamental importance. We propose SDI+, an unsupervised algorithm for the segmentation of skin lesions in dermoscopic images. It is articulated into three steps, aimed at extracting preliminary information on possible confounding factors, accurately segmenting the lesion, and post-processing the result. The overall method achieves high accuracy on dark skin lesions and can handle several cases where confounding factors could inhibit a clear understanding by a human operator. We present extensive experimental results and comparisons achieved by the SDI+ algorithm on the ISIC 2017 dataset, highlighting the advantages and disadvantages.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Interpretação de Imagem Assistida por Computador
/
Dermoscopia
Tipo de estudo:
Prognostic_studies
/
Screening_studies
Limite:
Humans
Idioma:
En
Revista:
IEEE J Biomed Health Inform
Ano de publicação:
2019
Tipo de documento:
Article