Бионика интеллекта

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https://openarchive.nure.ua/handle/document/11

Перегляд

Перегляд Бионика интеллекта за автором "Konarieva, I."

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  • Зображення мініатюри
    Публікація
    A survey of methods of text-to-image translation
    (ХНУРЕ, 2019) Konarieva, I.; Pydorenko, D.; Turuta, O.
    The given work considers the existing methods of text compression (finding keywords or creating summary) using RAKE, Lex Rank, Luhn, LSA, Text Rank algorithms; image generation; text-to-image and image-to-image translation including GANs (generative adversarial networks). Different types of GANs were described such as StyleGAN, GauGAN, Pix2Pix, CycleGAN, BigGAN, AttnGAN. This work aims to show ways to create illustrations for the text. First, key information should be obtained from the text. Second, this key information should be transformed into images. There were proposed several ways to transform keywords to images: generating images or selecting them from a dataset with further transforming like generating new images based on selected ow combining selected images e.g. with applying style from one image to another. Based on results, possibilities for further improving the quality of image generation were also planned: combining image generation with selecting images from a dataset, limiting topics of image generation.
  • Зображення мініатюри
    Публікація
    Detection of blood cells
    (ХНУРЕ, 2019) Chetverykov, G. G.; Tereshchenko, G.; Konarieva, I.
    The structure of the medical image analysis system is considered. The algorithm of the blood cell recognition system is given. Formulated the main tasks to be solved during the morphological analysis of blood. The requirements for the algorithm in determining the leukocyte formula and the detection of blood corpuscles on a smear were determined. A model of color-brightness characteristics is proposed for describing typical images of a blood smear. The threshold values of the sizes of objects are determined when searching for cells. A histogram of the brightness of a typical field of view was investigated. A two-step algorithm for detecting blood cells is described, as well as an algorithm for constructing a dividing line on the plane of relative colors. The results of experiments on real preparations are given. The causes of detection errors are considered.