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Публікація Comparative Characteristics of Filtration Methods in the Processing of Medical Images(AJER, 2020) Orobinskyi, P.; Deineko, Z.; Lyashenko, V.Digital image analysis is one of the research tools in various fields. Such a tool plays a special role in the study of medical images. This is due to the specifics of the data that can be displayed on medical images. Examples of such images are digital images of E.coli. These images were obtained under a microscope. Processing of such images provides additional information. We consider the filtering procedure as a method of preliminary image processing. Among these filtration procedures, we examine classical filtration methods and filtration, which takes into account the geometric dimensions of E.coli. The article presents the results of experiments. A comparative description of various filtration procedures is given. This is based on various image comparison metrics. It is concluded that it is necessary to take into account the geometric dimensions of E.coli when using filtration procedures.Публікація The Task of Identifying the Various Objects’ Boundary Points of the Medical Image as the Optimal Path Search on the Graph(WARSE, 2020) Orobinskyi, P.; Lyashenko, V.The analysis and processing of medical images is an important area of research. At the same time, medical images should be regarded as the object of corresponding analysis and an increased class of complexity. One of the tasks that must be solved is the segmentation of medical images. The difficulty of solving this task lies in possible overlaying of segmentation objects or finding them at a relatively close level when they are perceived as a single object. The identification of different objects points of medical image in the form of an optimal path search on the graph is considered in this work. The formalization and substantiation of this approach have been carried out.