Yulia Trusova
Russian Academy of Sciences
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Publication
Featured researches published by Yulia Trusova.
Pattern Recognition and Image Analysis | 2008
Sara Colantonio; Massimo Martinelli; Ovidio Salvetti; Igor B. Gurevich; Yulia Trusova
Cell image analysis in microscopy is the core activity of cytology and cytopathology for assessing cell physiological (cellular structure and function) and pathological properties. Biologists usually make evaluations by visually and qualitatively inspecting microscopic images: this way, they are particularly able to recognize deviations from normality. Nevertheless, automated analysis is strongly preferable for obtaining objective, quantitative, detailed, and reproducible measurements, i.e., features, of cells. Yet, the organization and standardization of the wide domain of features used in cytometry is still a matter of challenging research. In this paper, we present the Cell Image Analysis Ontology (CIAO), which we are developing for structuring the cell image features domain. CIAO is a structured ontology that relates different cell parts or whole cells, microscopic images, and cytometric features. Such an ontology has incalculable value since it could be used for standardizing cell image analysis terminology and features definition. It could also be suitably integrated into the development of tools for supporting biologists and clinicians in their analysis processes and for implementing automated diagnostic systems. Thus, we also present a tool developed for using CIAO in the diagnosis of hematopoietic diseases.
iberoamerican congress on pattern recognition | 2013
Igor B. Gurevich; Yulia Trusova; Vera Yashina
Survey. The main goal of the Algebraic Approach is the design of a unified scheme for the representation of objects for the purposes of their recognition and the transformation of such representations in the suitable algebraic structures. It makes possible to develop corresponding regular structures ready for analysis by algebraic, geometrical and topological techniques. Development of this line of image analysis and pattern recognition is of crucial importance for automated image mining and application problems solving. It is selected and briefly characterized main aspects of current state of the image analysis algebraization. Special attention is paid to the recent results of the Russian mathematical school.
4th International Workshop on Image Mining. Theory and Applications | 2018
Igor B. Gurevich; Artem Myagkov; Yuriy Sidorov; Yulia Trusova; Vera Yashina
semantics and digital media technologies | 2007
Sara Colantonio; Igor B. Gurevich; Massimo Martinelli; Ovidio Salvetti; Yulia Trusova
Mathematical and Linguistic Techniques for Image Mining | 2017
Yulia Trusova; Igor B. Gurevich; Victor Beloozerov; Dmitri Murashov
International Workshop on Image Mining. Theory and Applications | 2016
Sara Colantonio; Igor B. Gurevich; Ovidio Salvetti; Yulia Trusova
International Workshop on Image Mining Theory and Applications | 2016
Sara Colantonio; Igor B. Gurevich; Ovidio Salvetti; Yulia Trusova
International Workshop on Image Mining Theory and Applications | 2016
Sara Colantonio; Igor B. Gurevich; Gabriele Pieri; Ovidio Salvetti; Yulia Trusova
international conference on computer vision theory and applications | 2007
Yulia Trusova; Igor B. Gurevich; Victor Beloozerov; Dmitry Murashov