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dc.date.accessioned 2023-05-10T14:57:33Z
dc.date.available 2023-05-10T14:57:33Z
dc.date.issued 2010
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/152717
dc.description.abstract Automatic segmentation of different types of tissue from medical images of several sensing modalities is of great importance for clinical and research applications. In this paper, we propose a segmentation methodology based on a multifractal approach. We present different alternatives for estimating local fractal exponents in these images, as well as their global distributions –the multifractal sperctrum. We generate new images by means of grayscale mapping of these local an global computed values. The obtained results are quite promising as a tissue differentiation tool, and therefore are suitable to carry out automatic segmentation of abnormalities in medical images. es
dc.format.extent 1575-1581 es
dc.language es es
dc.subject Medical Imaging es
dc.subject Image Segmentation es
dc.subject Hölder Exponent es
dc.subject Multifractals es
dc.title Multifractal Analysis of Medical Images en
dc.type Objeto de conferencia es
sedici.identifier.uri http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-05.pdf es
sedici.identifier.issn 1850-2806 es
sedici.creator.person Silvetti, Andrea es
sedici.creator.person Delrieux, Claudio es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2010
sedici.relation.event Simposio Argentino de Tecnología (AST 2010) - JAIIO 39 (UADE, 30 de agosto al 3 de septiembre de 2010) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)