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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 |