Fast fractal stack: fractal analysis of computed tomography scans of the lung

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 fea...

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Main Author: Costa, Alceu Ferraz (author)
Other Authors: Tekli, Joe (author), Traina, Agma Juci Machado (author)
Format: conferenceObject
Published: 2011
Online Access:http://hdl.handle.net/10725/5864
https://doi.org/10.1145/2072545.2072549
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://dl.acm.org/doi/abs/10.1145/2072545.2072549
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author Costa, Alceu Ferraz
author2 Tekli, Joe
Traina, Agma Juci Machado
author2_role author
author
author_facet Costa, Alceu Ferraz
Tekli, Joe
Traina, Agma Juci Machado
author_role author
dc.creator.none.fl_str_mv Costa, Alceu Ferraz
Tekli, Joe
Traina, Agma Juci Machado
dc.date.none.fl_str_mv 2011-11-29
2017-07-04T09:58:19Z
2017-07-04T09:58:19Z
dc.identifier.none.fl_str_mv 9781450309912
http://hdl.handle.net/10725/5864
https://doi.org/10.1145/2072545.2072549
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.
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://dl.acm.org/doi/abs/10.1145/2072545.2072549
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv ACM
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.title.none.fl_str_mv Fast fractal stack: fractal analysis of computed tomography scans of the lung
dc.type.none.fl_str_mv Conference Paper / Proceeding
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
description 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 classification 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.
eu_rights_str_mv openAccess
format conferenceObject
id LAURepo_f3ec83776912ceb30e35cd42f7925327
identifier_str_mv 9781450309912
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.
language_invalid_str_mv en
network_acronym_str LAURepo
network_name_str Lebanese American University repository
oai_identifier_str oai:laur.lau.edu.lb:10725/5864
publishDate 2011
publisher.none.fl_str_mv ACM
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spelling Fast fractal stack: fractal analysis of computed tomography scans of the lungCosta, Alceu FerrazTekli, JoeTraina, Agma Juci MachadoThis 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 classification 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.N/A1 online resource (64 pages)ACM2017-07-04T09:58:19Z2017-07-04T09:58:19Z2011-11-29Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject9781450309912http://hdl.handle.net/10725/5864https://doi.org/10.1145/2072545.2072549Costa, 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.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://dl.acm.org/doi/abs/10.1145/2072545.2072549eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/58642025-03-19T15:02:29Z
spellingShingle Fast fractal stack: fractal analysis of computed tomography scans of the lung
Costa, Alceu Ferraz
status_str publishedVersion
title Fast fractal stack: fractal analysis of computed tomography scans of the lung
title_full Fast fractal stack: fractal analysis of computed tomography scans of the lung
title_fullStr Fast fractal stack: fractal analysis of computed tomography scans of the lung
title_full_unstemmed Fast fractal stack: fractal analysis of computed tomography scans of the lung
title_short Fast fractal stack: fractal analysis of computed tomography scans of the lung
title_sort Fast fractal stack: fractal analysis of computed tomography scans of the lung
url http://hdl.handle.net/10725/5864
https://doi.org/10.1145/2072545.2072549
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://dl.acm.org/doi/abs/10.1145/2072545.2072549