Segmentation of Pulmonary Nodules in CT Images Using the Sliding Band Filter

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2020

Autores

Joana Rocha (Autor) Outra; António Cunha (Autor) Outra; Ana Maria Mendonça (Autor) FEUP

Ata de Conferência Internacional

Título: XV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING - MEDICON 2019

Páginas: 353-357

15th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON)

UNESCO World Heritage Univ, Coimbra, PORTUGAL, SEP 26-28, 2019

Indexação

ISI Web of Knowledge - 0 Citações

ISI Web of Science

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00R-F2Y

DOI: 10.1007/978-3-030-31635-8_42

Abstract (EN): This paper proposes a conventional approach for pulmonary nodule segmentation, that uses the Sliding Band Filter to estimate the center of the nodule, and consequently the filter's support points, matching the initial border coordinates. This preliminary segmentation is then refined to try to include mainly the nodular area, and no other regions (e.g. vessels and pleural wall). The algorithm was tested on 2653 nodules from the LIDC database and achieved a Dice score of 0.663, yielding similar results to the ground truth reference, and thus being a promising tool to promote early lung cancer screening and improve nodule characterization.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5