Zobrazeno 1 - 4
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pro vyhledávání: '"Mahdieh Khalilinezhad"'
The aim of this work is to build a model based on tissue characterization that is able to discriminate pathological and non-pathological regions from three-phasic CT images. With our research and based on a feature selection in different phases, we a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fd791b93adadc9de95dae512aa910ef
The aim of the present work is the analysis and mining of the informative content related to pathological liver tissues, when acquired by triphasic CT, with the proposal of a data-fusion approach, which is able to visualize and show up such a content
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2507a5d5c5d0673cd6fbebc97aaea577
http://hdl.handle.net/11567/858590
http://hdl.handle.net/11567/858590
Publikováno v:
2011 International Conference on Information Management, Innovation Management and Industrial Engineering.
Despite the increasing interest of researchers to issues related to innovation and Specially, the role of organizational culture and its impact on innovation capacity there is not enough studies about innovation measurement. The purpose of this resea
Publikováno v:
Fourth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2011).
Association rule mining is one of the popular pattern discovery methods in Knowledge Discovery in Databases (KDD). In this regard, all the obtained results from association rules are not useful and do not have same values. The aim of this paper is ev