Effective Features to Classify Skin Lesions in Dermoscopic images

• Tipo: Artigo em Revista Científica Internacional
• Data: 2017-10-30

Autores

Zhen Ma (Autor) FEUP; João Manuel R. S. Tavares (Autor) FEUP

Revista

Título: Expert Systems with Applications

Vol. 84

Páginas: 92-101

ISSN: 0957-4174

Editora: Elsevier

Indexação

ISI Web of Knowledge - 21 Citações

ISI Web of Science

Scopus - 35 Citações

INSPEC

Classificação Científica

CORDIS: Ciências Tecnológicas

FOS: Ciências médicas e da saúde

Outras Informações

ID Authenticus: P-00M-SK7

DOI: 10.1016/j.eswa.2017.05.003

Abstract (EN): Features such as shape and color are indispensable to determine whether a skin lesion is a melanoma or not. However, there are no fixed guidelines to define which features are effective and how to combine them for classification. This lack of definition impedes the development of the automatic analyses of dermoscopic images. In this work, a search for effective features was carried out using a support vector machine. Three image databases were used to verify the feasibility and sensitivity of the automatic classification used. The results showed which features had a major influence on the classification performance, and confirmed the need to use various types of features in this process.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10