Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/7125
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dc.creatorZhen Ma
dc.creatorJoão Manuel R. S. Tavares
dc.creatorR. M. Natal Jorge
dc.date.accessioned2022-09-10T08:26:59Z-
dc.date.available2022-09-10T08:26:59Z-
dc.date.issued2009
dc.identifier.othersigarra:61851
dc.identifier.urihttps://hdl.handle.net/10216/7125-
dc.description.abstractThis 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.
dc.language.isoeng
dc.relation.ispartofProceedings of the 1st International Conference on Imaging Theory and Applications (IMAGAPP)
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectEngenharia biomédica, Ciências da computação e da informação
dc.subjectBiomedical enginnering, Computer and information sciences
dc.titleA review on the current segmentation algorithms for medical images
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.authenticusP-003-QHM
dc.subject.fosCiências exactas e naturais::Ciências da computação e da informação
dc.subject.fosNatural sciences::Computer and information sciences
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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