A review of algorithms for medical image segmentation and their applications to the female pelvic cavity

• Tipo: Outra Publicação em Revista Científica Internacional
• Data: 2010

Autores

ma, z (Autor) Outra; tavares, jmrs (Autor) FEUP; jorge, rn (Autor) FEUP; mascarenhas, t (Autor) FMUP

Revista

Título: Computer Methods in Biomechanics and Biomedical Engineering

Vol. 13 Nº 2

Páginas: 235-246

ISSN: 1025-5842

Editora: Taylor & Francis

Indexação

ISI Web of Knowledge - 214 Citações

ISI Web of Science

Scopus - 252 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

CORDIS: Ciências Tecnológicas

Outras Informações

ID Authenticus: P-003-AG2

DOI: 10.1080/10255840903131878

Abstract (EN): This paper aims to make a review on the current segmentation algorithms used for medical images. Algorithms are classified according to their principal methodologies, namely the ones based on thresholds, the ones based on clustering techniques and the ones based on deformable models. The last type is focused on due to the intensive investigations into the deformable models that have been done in the last few decades. Typical algorithms of each type are discussed and the main ideas, application fields, advantages and disadvantages of each type are summarised. Experiments that apply these algorithms to segment the organs and tissues of the female pelvic cavity are presented to further illustrate their distinct characteristics. In the end, the main guidelines that should be considered for designing the segmentation algorithms of the pelvic cavity are proposed.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12