Evaluation of contrast enhancement filters for lung nodule detection

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2007

Autores

Carlos S Pereira (Autor) Outra; Ana Maria Mendonca (Autor) FEUP; Aurelio Campilho (Autor) FEUP

Ata de Conferência Internacional

Título: Image Analysis and Recognition

Páginas: 878-888

Indexação

ISI Proceedings

ISI Web of Knowledge - 13 Citações

Scopus - 21 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Biotecnologia ambiental

Outras Informações

ID Authenticus: P-004-DFA

DOI: 10.1007/978-3-540-74260-9_78

Abstract (EN): The aim of this paper is to evaluate and compare the performance of three convergence index (CI) filters when applied to the enhancement of chest radiographs, aiming at the detection of lung nodules. One of these filters, the sliding band filter (SBF), is the proposal of an innovative operator, while the other two CI class members, the iris filter (IF) and the adaptive ring filter (ARF), are already known in this application. To demonstrate the adequacy of the new filter for the enhancement of chest x-ray images, we calculated several figures of merit with the goal of comparing (i) the contrast enhancement capability of the filters, and (ii) the behavior of the filters for the detection of lung nodules. The results obtained for 154 images with nodules of the JSRT database show that the SBF outperforms both the IF and ARF. The proposed filter demonstrated to be a promising enhancement method, thus justifying its use in the first stage of a computer-aided diagnosis system for the detection of lung nodules.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11