Bilgi İşlem Daire Başkanlığı / Head of Information Technologies (IT) Department

Permanent URI for this collectionhttps://hdl.handle.net/11727/1405

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    Prostat Kanseri ̇ İlintili MikroRNA Kümelerinin Tespiti
    (22nd Signal Processing and Communications Applications Conference (SIU 2014), Trabzon,, 2014) Haberal, İsmail; Oğul, Hasan
    MicroRNAs (miRNAs) are a class of small non- coding RNAs of 22 nucleotides which normally function as negative regulators of target mRNA expression at the posttran- scriptional level. miRNAs play a role for one or more target genes by suppressing in processes as growth, differentiation, proliferation and cell death. Recent evidence has shown that miRNA mutations or mis-expression correlate with various hu- man cancers and indicates that miRNAs can function as tumour suppressors and oncogenes. MicroRNAs have been shown to repress the expression of important cancer-related genes and might prove useful in the diagnosis and treatment of cancer. In this study, hierarchical microRNA clusters are obtained through microarray expression data in order to analyze the microRNA prostate cancer relationships. Clustering results are evaluated by their biological relevance. It is seen that such approach can be useful in detectitn relationships between microRNAs and diseases.
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    A Novel Blending Method for Automatic Seamless Image Mosaicing
    (Proc. of the Intl. Conf. on Advances In Computer and Electronics Technology- ACET 2014, 2014) Varol, Ahmet Hamdi
    An image mosaic is a panoramic image generated by assembling sequential images belong to the same scene . This method is mainly used in mapping applications, the evaluation of the images acquired from unmanned aerial vehicles, and various computer vision applications. In this study, we proposed a novel blending method for automatic seamless image mosaicing from ground level photos taken by an digital camera. For the correction of consistent seams occurred during the mosaicing, we measured the color differences around the overlapping regions. For this purpose, first, we determined the intensity values of image pixels inside and outside the overlapping region boundary within a 1 pixel wide zone. Secondly, the intensity values were averaged and finally, the average values of color differences were applied to overlapping regions. Besides, a motion blur filter was performed for the same boundary regions in order to reduce the seams. In order to test the accuracy, a subjective evaluation metric was used. According to the results obtained, the seamless image mosaics were generated with a subjective accuracy of 74%. Our results indicate that the seams can be substantially reduced or completely eliminated, and the illumination differences are minimized.