ÖzPurpose: The aim of this study was to determine the possibility of using wavelet analysis for processing images of cytology preparations. Material and Methods: A set of different images of cytology preparations were analyzed through changes in their contrast and application of the methodology of the wavelet analysis. Results: Developed procedure of processing of cytology preparations images. Procedure of processing of cytology preparations images allows to qualitatively (in terms of their visualization) allocating: cells' edges, cell nuclei, revealing in more detail textural features of cells' images, which allows analyzing cell structure. Conclusion: Consider the possibility and feasibility issues of applying wavelet analysis for processing cytology preparations images. This improves the quality of the analysis of cytology preparations images. This allows the to properly diagnose.Amaç: Bu çalışmanın amacı sitoloji preperatlarının görüntülerinin işlenmesinde dalgacık analizlerinin kullanılma olasılığını belirlemektir. Gereç ve Yöntem: Sitoloji preparatlarının farklı bir görüntü seti, kontrastlarindaki değişimler ve dalgacık analizlerinin metolojik uygulamalarıyla analiz edildi. Bulgular: Sitoloji preparat görüntülerinin işlenmesi prosedürü geliştirildi. Sitolojik preparat görüntü işlenmesi prosedürü kalitatif olarak (görüntüleme açısından) birçok yapının (hücre yapısının analizi, hücre görüntülerinin yapısal özellikleri, hücre sınırları, ve hücre nukleusları) tanımlanmasına izin verir Sonuç: Sitolojik preparatların görüntüleme işlenmesi için dalgacık analizlerinin uygulanabilirligi ve yapılabilirliginin düşünülmesi. Bu işlem sitolojik preparatların görüntüleme analizi kalitesini iyileştirir dolayısıyla bu da daha uygun şekilde tanıya olanak tanıyacaktır.
The analysis presented in the Global Competitiveness Report 2018 (herein: "Report") is based on a methodology integrating the latest statistics from international organizations and a survey of executives. The methodology, developed in collaboration with leading experts and practitioners through a three year consultative process, is designed to support countries to identify relevant policies and practices. The findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of the World Economic Forum.The Report presents information and data that were compiled and/or collected by the World Economic Forum (all information and data referred herein as "Data"). Data in this Report is subject to change without notice. The terms country and nation as used in this Report do not in all cases refer to a territorial entity that is a state as understood by international law and practice. The terms cover well-defined, geographically self-contained economic areas that may not be states but for which statistical data are maintained on a separate and independent basis.Although the World Economic Forum takes every reasonable step to ensure that the Data thus compiled and/or collected is accurately reflected in this Report, the World Economic Forum, its agents, officers, and employees: (i) provide the Data "as is, as available" and without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose and non-infringement; (ii) make no representations, express or implied, as to the accuracy of the Data contained in this Report or its suitability for any particular purpose; (iii) accept no liability for any use of the said Data or reliance placed on it, in particular, for any interpretation, decisions, or actions based on the Data in this Report.Other parties may have ownership interests in some of the Data contained in this Report. The World Economic Forum in no way represents or warrants that it owns or controls all rights in all Data, and the World Economic Forum will not be liable to users for any claims brought against users by third parties in connection with their use of any Data.The World Economic Forum, its agents, officers, and employees do not endorse or in any respect warrant any third-party products or services by virtue of any Data, material, or content referred to or included in this Report. Users shall not infringe upon the integrity of the Data and in particular shall refrain from any act of alteration of the Data that intentionally affects its nature or accuracy. If the Data is materially transformed by the user, this must be stated explicitly along with the required source citation.For Data compiled by parties other than the World Economic Forum, as specified in Appendix C of this Report, users must refer to these parties' terms of use, in particular concerning the attribution, distribution, and reproduction of the Data.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.