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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2011
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| 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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| _version_ | 1864513478158450688 |
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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 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| 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 |