A review on the current segmentation algorithms for medical images

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2009

Autores

Zhen Ma (Autor) Outra; João Manuel R. S. Tavares (Autor) FEUP; R. M. Natal Jorge (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings of the 1st International Conference on Imaging Theory and Applications (IMAGAPP)

Páginas: 135-140

1st International Conference on Imaging Theory and Applications (IMAGAPP) Lisboa, Portugal 5-8 February 2009

Lisboa, Portugal, 5-8 February 2009

Indexação

ISI Proceedings

ISI Web of Knowledge - 36 Citações

Scopus - 87 Citações

INSPEC

Classificação Científica

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

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia biomédica

Outras Informações

ID Authenticus: P-003-QHM

Abstract (EN): This paper makes a review on the current segmentation algorithms used for medical images. Algorithms are divided into three categories according to their main ideas: the ones based on threshold, the ones based on pattern recognition techniques and the ones based on deformable models. The main tendency of each category with their principle ideas, application field, advantages and disadvantages are discussed. For each considered type some typical algorithms are described. Algorithms of the third category are mainly focused because of the intensive investigation on deformable models in the recent years. Possible applications of these algorithms on segmenting organs and tissues contained in the pelvic cavity are also discussed through several preliminary experiments.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6