Show simple item record

dc.contributor.authorERVURAL, SAİM
dc.contributor.authorCEYLAN, MURAT
dc.date.accessioned2019-07-11T05:59:11Z
dc.date.available2019-07-11T05:59:11Z
dc.date.issued2017
dc.identifier.citationErvural, S., Ceylan, M., (2017). “A Comparison of Various Fusion Methods for CT and MR Liver Images”, 10th International Conference on Computer Science and Information Technology (ICCSIT2017), October 23 -25, Florance.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12498/1212
dc.description.abstractIn this study, liver Magnetic Resonance (MR) images and Computerized Tomography (CT) images were combined with wavelet-based image fusion methods to facilitate expert decision-making in identifying the type of liver focal lesions. For this purpose, 46 MR and 46 CT images were used belong to 36 different patients. These images include different type of focal liver lesions samples that cysts, Hepatocellular Carcinoma (HCC), Colagiocellular Carcinoma (CCC), Focal Nodular Hyperplasia (FNH), liver metastases and hemangioma. For the fusion, three different fusion rules including average rule, maximum selection rule and multiplication rule was applied to images and the results were compared. When the results were visually examined, it was observed that the multiplication rule was more successful. In addition to the visual results, the performances of fusion results are compared using, Peak to Noise Ratio (PSNR), Accuracy (ACC), Entropy (EN) and Fusion Factor (FF) metrics.en_US
dc.description.sponsorshipTÜBİTAK, KTO KARATAY ÜNİVERSİTESİen_US
dc.language.isoenen_US
dc.publisher10th International Conference on Computer Science and Information Technologyen_US
dc.subjectimage fusion, liver, MR imaging, CT imaging, discrete wavelet transform, image fusion rulesen_US
dc.titleA Comparison of Various Fusion Methods for CT and MR Liver Imagesen_US
dc.typeConference Paperen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record