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Dive into the research topics where Yulia Trusova is active.

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Featured researches published by Yulia Trusova.


Pattern Recognition and Image Analysis | 2008

Cell image analysis ontology

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

Current Trends in the Algebraic Image Analysis: A Survey

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

Detection and Identification of Neurons in Images of Microscopic Brain Sections

Igor B. Gurevich; Artem Myagkov; Yuriy Sidorov; Yulia Trusova; Vera Yashina


semantics and digital media technologies | 2007

Thesaurus-based ontology on image analysis

Sara Colantonio; Igor B. Gurevich; Massimo Martinelli; Ovidio Salvetti; Yulia Trusova


Mathematical and Linguistic Techniques for Image Mining | 2017

LINGUISTIC SUPPORT OF THE KNOWLEDGE BASE FOR IMAGE ANALYSIS AND UNDERSTANDING SYSTEM

Yulia Trusova; Igor B. Gurevich; Victor Beloozerov; Dmitri Murashov


International Workshop on Image Mining. Theory and Applications | 2016

An Image Mining Medical Warehouse

Sara Colantonio; Igor B. Gurevich; Ovidio Salvetti; Yulia Trusova


International Workshop on Image Mining Theory and Applications | 2016

An Image-based Framework for Intellectual Decision Making in Medical Research

Sara Colantonio; Igor B. Gurevich; Ovidio Salvetti; Yulia Trusova


International Workshop on Image Mining Theory and Applications | 2016

Ontology-based Framework to Image Mining

Sara Colantonio; Igor B. Gurevich; Gabriele Pieri; Ovidio Salvetti; Yulia Trusova


international conference on computer vision theory and applications | 2007

Linguistic support of the knowledge base for image analysis and understanding system.

Yulia Trusova; Igor B. Gurevich; Victor Beloozerov; Dmitry Murashov

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Igor B. Gurevich

Russian Academy of Sciences

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Sara Colantonio

National Research Council

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Ovidio Salvetti

Istituto di Scienza e Tecnologie dell'Informazione

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Vera Yashina

Russian Academy of Sciences

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Artem Myagkov

Russian Academy of Sciences

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Dmitry Murashov

Russian Academy of Sciences

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Gabriele Pieri

National Research Council

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