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A fractal analysis of CT liver images for the discrimination of hepatic lesions: A comparative study

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dc.contributor.author Sariyanni, C-PA en
dc.contributor.author Asvestas, P en
dc.contributor.author Matsopoulos, GK en
dc.contributor.author Nikita, KS en
dc.contributor.author Nikita, AS en
dc.contributor.author Kelekis, D en
dc.date.accessioned 2014-03-01T02:41:39Z
dc.date.available 2014-03-01T02:41:39Z
dc.date.issued 2001 en
dc.identifier.issn 05891019 en
dc.identifier.uri http://hdl.handle.net/123456789/30582
dc.subject Box-counting method en
dc.subject Brownian motion en
dc.subject Fractal dimension en
dc.subject Hepatic lesions en
dc.subject K-nearest neighbour method en
dc.subject Morphology en
dc.title A fractal analysis of CT liver images for the discrimination of hepatic lesions: A comparative study en
heal.type conferenceItem en
heal.identifier.primary 10.1109/IEMBS.2001.1020508 en
heal.identifier.secondary http://dx.doi.org/10.1109/IEMBS.2001.1020508 en
heal.publicationDate 2001 en
heal.abstract A quantitative study for the discrimination of different hepatic lesions is presented in this paper. The study is based on the fractal analysis of CT liver images in order to estimate their fractal dimension and to differentiate normal liver parenchyma from hepatocellular carcinoma. Four fractal dimension estimators have been implemented throughout this work; three well-established methods and a novel implementation of a method. Analytically, these methods correspond to the power spectrum method, the box counting method, the morphological fractal estimator and the novel modification of the kth-nearest neighbour method. The Fuzzy C-Means algorithm is finally applied revealing that the k-th nearest neighbour method outperforms the other methods; thus discriminating up to 93% of the normal parenchyma and up to 82% of the hepatocellular carcinoma, correctly. en
heal.journalName Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings en
dc.identifier.doi 10.1109/IEMBS.2001.1020508 en
dc.identifier.volume 2 en
dc.identifier.spage 1557 en
dc.identifier.epage 1560 en


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