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Comparison of Deep Learning Preprocessing Algorithms of Nuclei Segmentation on Fluorescence Immunohistology Images of Cancer CellsImmunohistology fluorescence image analysis is an important method for cancer diagnosis
Fundamental mode exact schemes for unsteady problems schemes are in common use for this problem. They are based on a modification of standard discretizations
Features of exact calculation of EM fields of current carrying conductors by use of modified method of mirror images in view of electrical and magnetic properties of real media of mirror images in view of electrical and magnetic properties of real media
Food riddles in Tuvan and Russian linguocultures; [Загадки о пище в тувинской и русской лингвокультурах] that create images of food in the riddles of Tuvan and Russian ethnic communities. The research is based
A method for detecting image contoursA method for detecting boundaries (edges) of objects in an image based on the dynamical
JPEG ImageJPEG Image
Numerical Solution of Time-Dependent Problems with Fractional Power Elliptic Operator approximation in space is employed. To construct approximation in time, standard two-level schemes are used
FPGA - based digital image processing algorithms implementation overviewToday FPGAs are often used for real-time image processing acceleration. This paper describes
Recognition of buildings on satellite imagesThe paper is devoted to the methods for determining objects in images. The authors focus
Generative adversarial network for medical image segmentationIn this paper, a U-Net medical image segmentation method based on generative adversarial networks
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