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Author(s): ma, z
tavares, jmrs
jorge, rn
mascarenhas, t
Title: A review of algorithms for medical image segmentation and their applications to the female pelvic cavity
Issue Date: 2010
Abstract: 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.
Subject: Ciências Tecnológicas, Ciências da computação e da informação
Technological sciences, Computer and information sciences
Scientific areas: Ciências exactas e naturais::Ciências da computação e da informação
Natural sciences::Computer and information sciences
Document Type: Outra Publicação em Revista Científica Internacional
Rights: openAccess
Appears in Collections:FEUP - Outra Publicação em Revista Científica Internacional
FMUP - Outra Publicação em Revista Científica Internacional

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