Recent advancements in deep learning have significantly improved electrocardiogram analysis for early and accurate detection of cardiovascular diseases. Unlike traditional ECG interpretation methods, which depend heavily on expert judgment and are prone to variability, machine learning models automatically identify complex patterns within large ECG datasets, offering enhanced diagnostic...
This work was carried out within the framework of a joint project between MLIT and LRB JINR to create an information system for automating the analysis of radiobiological experiments.
Among the various types of radiation-induced DNA damage, the most crucial and dangerous types are DNA double-strand breaks (DSBs). To visualize DNA DSBs, the immunofluorescence staining method is used, which is...
A model for recognizing neural and glial cells in images of histological sections of the sensor cortex of small laboratory animals obtained using light microscopy has been developed. The model is based on the use of the publicly available YOLOv11 neural network, developed for recognizing objects in images. The neural network was trained on a set of images and high accuracy was achieved on...
In this work, we present a fully automated method for delineating the โOpen Fieldโ experimental arena to support subsequent tracking of laboratory animal behavior. The core of our approach is the SOLD2 neural network model from the Kornia library, which provides high-quality detection of the arenaโs linear boundaries and interior sectors without any manual intervention.
The processing...
ะะพะบะปะฐะด ะฟะพัะฒััะตะฝ ัะฐะทัะฐะฑะพัะบะต ะธะฝััััะผะตะฝัะฐัะธั ะดะปั ะฐะฒัะพะผะฐัะธะทะฐัะธะธ ะฟัะพัะตััะฐ ะผะพััะพะปะพะณะธัะตัะบะพะณะพ ะฐะฝะฐะปะธะทะฐ ะบะปะตัะพะบ ัะตะฝัะพะผะพัะพัะฝะพะน ะบะพัั ะณะพะปะพะฒะฝะพะณะพ ะผะพะทะณะฐ ั ะธัะฟะพะปัะทะพะฒะฐะฝะธะตะผ ะผะพะดะตะปะตะน ะผะฐัะธะฝะฝะพะณะพ ะพะฑััะตะฝะธั. ะกะพะทะดะฐะฒะฐะตะผัะน ะธะฝััััะผะตะฝัะฐัะธะน ะฒะบะปััะฐะตั ะพะฑััะตะฝะฝัะต ะผะพะดะตะปะธ ะดะปั ะพะฑะฝะฐััะถะตะฝะธั, ัะตะณะผะตะฝัะฐัะธะธ ะธ ะบะปะฐััะธัะธะบะฐัะธะธ ะบะปะตัะพะบ ะฝะตัะฒะฝะพะน ัะบะฐะฝะธ ะฝะฐ ะธะทะพะฑัะฐะถะตะฝะธัั ; ะฒะตะฑ-ะฟัะธะปะพะถะตะฝะธะต, ะฟัะตะดะฝะฐะทะฝะฐัะตะฝะฝะพะต ะดะปั ะธัะฟะพะปัะทะพะฒะฐะฝะธั ะบะพะฝะตัะฝัะผะธ ะฟะพะปัะทะพะฒะฐัะตะปัะผะธ, ะธ...
Monitoring agricultural land and the crops grown on it can significantly improve the accuracy and objectivity of information on the use of agricultural land. The paper proposes an approach that can be used to build a system for such monitoring of the state of a certain territory. Within the framework of this approach, satellite images of a given territory are processed. First,...
ะะดะฝะธะผ ะธะท ะฒะฐะถะฝัั ะฒะธะดะพะฒ ัะบัะฟะตัะธะผะตะฝัะฐะปัะฝัั ะดะฐะฝะฝัั ัะฒะปัะตััั ะผะฝะพะณะพะบะฐะฝะฐะปัะฝะพะต ะธะทะพะฑัะฐะถะตะฝะธะต. ะ ะฝะตะผ ัะธัะปะพ ะบะฐะฝะฐะปะพะฒ ะผะพะถะตั ะฑััั ะฑะพะปััะต ััะตั ะธ ะดะพั ะพะดะธัั ะดะพ ัะพัะตะฝ. ะะพะดะพะฑะฝัะต ะดะฐะฝะฝัะต ะฒะพะทะฝะธะบะฐัั, ะฝะฐะฟัะธะผะตั, ะฒ ะพะฑะปะฐัััั ะดะธััะฐะฝัะธะพะฝะฝะพะณะพ ะทะพะฝะดะธัะพะฒะฐะฝะธั ะะตะผะปะธ, ะฟัะพัััะฐะฝััะฒะตะฝะฝะพ ัะฐะทัะตัะฐััะตะน ะผะฐัั-ัะฟะตะบััะพะผะตััะธะธ, ะพะฝะบะพะดะตัะผะฐัะพะปะพะณะธะธ. ะััะบะธะน ัะฐะท, ะบะพะณะดะฐ ะฟะพัะฒะปัะตััั ะฝะตะพะฑั ะพะดะธะผะพััั ัะบัะฟะตััะฝะพะน ะพัะตะฝะบะธ ะผะฝะพะณะพะบะฐะฝะฐะปัะฝะพะณะพ ะธะทะพะฑัะฐะถะตะฝะธั, ะฒะพะทะฝะธะบะฐะตั...
Accurate classification of plant diseases is crucial in agriculture, yet the development of accurate deep learning models often requires large and diverse datasets. Generative Adversarial Networks (GANs), introduced in 2014 and popularized for image synthesis in subsequent years, offer a promising approach for generating synthetic training samples beyond traditional augmentation methods such...
Various approaches for integrating trainable Gabor filters into the U-Net architecture to enhance biomedical image segmentation are investigated. Several implementation strategies are examined: augmenting the network input with Gabor filters (fixed or trainable), embedding a dedicated Gabor-based layer within the encoder or decoder, and employing parameterized convolutions derived from the...
ะงะธัะปะตะฝะฝัะต ัะบัะฟะตัะธะผะตะฝัั ั ะผะพะดะตะปัั ัะฟะธะดะตะผะธะธ Covid-19 ะฒ ะะพัะบะฒะต ะฟะพะบะฐะทะฐะปะธ, ััะพ ะฟัะธ ัะตะฟัะพะดัะบัะธะพะฝะฝะพะผ ัะธัะปะต R0 ะพะบะพะปะพ 4 ะฟัะพะธัั ะพะดะธั ะบะฐัะตััะฒะตะฝะฝะพะต ะธะทะผะตะฝะตะฝะธะต ะฟะพะฒะตะดะตะฝะธั (ะฑะธัััะบะฐัะธั) ัะธััะตะผั โะฒะธััั-ัะตะปะพะฒะตะบโ. ะะธะถะต ััะพะน ะฒะตะปะธัะธะฝั (ััะพ ะผั ะฝะฐะฑะปัะดะฐะปะธ ะดะพ 2022 ะณ.) ะดะปะธัะตะปัะฝัะน (ะผะฝะพะณะพะปะตัะฝะธะน) ะฟัะพะณะฝะพะท ัััะตะผะธัััั ะบ ะฝะตะทะฐััั ะฐััะธะผ ะบะพะปะตะฑะฐะฝะธัะผ, ะฒััะต โ ะพะฟะธััะฒะฐะตััั ะทะฐััั ะฐััะธะผะธ ะบะพะปะตะฑะฐะฝะธัะผะธ: ะฐะผะฟะปะธััะดั ะฒะพะปะฝ ัะฟะธะดะตะผะธะธ ััะฐะฝะพะฒัััั ะฒัะต...
Dementia, particularly Alzheimer's disease, is a growing global medical and economic problem, exacerbated by increasing life expectancy and an aging population. This requires effective methods for processing biomedical research data, in which the number of observations is less than the data dimension. This article describes a comprehensive data processing pipeline, including dimensionality...
ะัะตะดััะฐะฒะปะตะฝะฐ ัะฐะทัะฐะฑะพัะบะฐ ะผัะปััะธะผะพะดะฐะปัะฝะพะน ัะธััะตะผั, ะพะฑัะตะดะธะฝัััะตะน ะผะตัะพะดั ะพะฑัััะฝะธะผะพะณะพ ะธัะบััััะฒะตะฝะฝะพะณะพ ะธะฝัะตะปะปะตะบัะฐ (XAI) ะธ ะณะตะฝะตัะฐัะธะฒะฝัะต ัะตั ะฝะพะปะพะณะธะธ ะดะปั ะฐะฒัะพะผะฐัะธะทะฐัะธะธ ะฐะฝะฐะปะธะทะฐ ัะตะฝัะณะตะฝะพะฒัะบะธั ัะฝะธะผะบะพะฒ ะณััะดะฝะพะน ะบะปะตัะบะธ. ะัะฝะพะฒะฝะพะต ะฒะฝะธะผะฐะฝะธะต ัะดะตะปะตะฝะพ ะธะฝัะตะณัะฐัะธะธ ัะฒะตััะพัะฝัั ะฝะตะนัะพะฝะฝัั ัะตัะตะน, ะฐะดะฐะฟัะธัะพะฒะฐะฝะฝัั ะดะปั ะดะธะฐะณะฝะพััะธะบะธ ั ัะพะฝะธัะตัะบะพะน ะพะฑััััะบัะธะฒะฝะพะน ะฑะพะปะตะทะฝะธ ะปัะณะบะธั , ั ะฐะปะณะพัะธัะผะฐะผะธ ะธะฝัะตัะฟัะตัะฐัะธะธ ะฟัะพะณะฝะพะทะพะฒ ะธ ะณะตะฝะตัะฐัะธะธ...
Clinical target volume (CTV) is a traditional target delineation method used in radiotherapy. The concept however has several limitations (such as binary conceptualisation, variability and uncertainty). More recently a continuous probabilistic concept - Clinical Target Distribution (CTD) has come into prominence, which addresses these limitations. We report here a neural-network implementation...
