Computational methods for the image segmentation of pigmented skin lesions: a review

• Tipo: Artigo em Revista Científica Internacional
• Data: 2016

Autores

Roberta B. Oliveira (Autor) FEUP; Mercedes E. Filho (Autor) Outra; Zhen Ma (Autor) FEUP; João P. Papa (Autor) Outra; Aledir S. Pereira (Autor) Outra; João Manuel R. S. Tavares (Autor) FEUP

Revista

Título: Computer Methods and Programs in Biomedicine

Vol. 131

Páginas: 127-141

ISSN: 0169-2607

Editora: Elsevier

Indexação

ISI Web of Knowledge - 168 Citações

ISI Web of Science

Scopus - 205 Citações

INSPEC

Classificação Científica

CORDIS: Ciências Tecnológicas

FOS: Ciências da engenharia e tecnologias

Outras Informações

ID Authenticus: P-00K-CJV

Abstract (EN): Background and objectives: Because skin cancer affects millions of people worldwide, computational methods for the segmentation of pigmented skin lesions in images have been developed in order to assist dermatologists in their diagnosis. This paper aims to present a review of the current methods, and outline a comparative analysis with regards to several of the fundamental steps of image processing, such as image acquisition, pre-processing and segmentation. Methods: Techniques that have been proposed to achieve these tasks were identified and reviewed. As to the image segmentation task, the techniques were classified according to their principle. Results: The techniques employed in each step are explained, and their strengths and weaknesses are identified. In addition, several of the reviewed techniques are applied to macroscopic and dermoscopy images in order to exemplify their results. Conclusions: The image segmentation of skin lesions has been addressed successfully in many studies; however, there is a demand for new methodologies in order to improve the efficiency.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 15