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Fast fractal stack

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dc.contributor.author Tekli, Joe
dc.contributor.author Costa, Alceu Ferraz
dc.contributor.author Traina, Agma Juci Machado
dc.date.accessioned 2017-07-04T09:58:19Z
dc.date.available 2017-07-04T09:58:19Z
dc.identifier.isbn 978-1-4503-0991-2 en_US
dc.identifier.uri http://hdl.handle.net/10725/5864
dc.description.abstract This paper proposes a new feature extraction method: the Fast Fractal Stack, or FFS. The extraction algorithm consists in decomposing the input grayscale image into a stack of binary images from which the fractal dimension values are computed, resulting in a compact and highly descriptive set of features. We evaluated FFS for the task of classifi- cation of interstitial lung diseases in computed tomography (CT) scans, applied on a database of 248 CT images from 67 patients. The proposed approach performs well, improving the classification accuracy when compared to other feature extraction algorithms. Additionally, the FFS extraction algorithm is efficient, with a computational cost linear with respect to input image size. en_US
dc.language.iso en en_US
dc.publisher ACM en_US
dc.title Fast fractal stack en_US
dc.type Conference Paper / Proceeding en_US
dc.title.subtitle fractal analysis of computed tomography scans of the lung en_US
dc.author.school SOE en_US
dc.author.idnumber 201306321 en_US
dc.author.department Electrical And Computer Engineering en_US
dc.description.embargo N/A en_US
dc.keywords Algorithms en_US
dc.keywords Experimentation en_US
dc.identifier.doi https://doi.org/10.1145/2072545.2072549 en_US
dc.identifier.ctation Costa, A. F., Tekli, J., & Traina, A. J. M. (2011, November). Fast fractal stack: fractal analysis of computed tomography scans of the lung. In Proceedings of the 2011 international ACM workshop on Medical multimedia analysis and retrieval (pp. 13-18). ACM. en_US
dc.author.email joe.tekli@lau.edu.lb en_US
dc.conference.date Nov 27, 2011 - Dec 1, 2011 en_US
dc.conference.pages 13-18 en_US
dc.conference.place Scottsdale, Arizona, USA en_US
dc.conference.title MMAR '11 Proceedings of the 2011 international ACM workshop on Medical multimedia analysis and retrieval en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://dl.acm.org/citation.cfm?id=2072549 en_US
dc.author.affiliation Lebanese American University en_US


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