Publications by authors named "Sineglazov Victor"
Article Synopsis
- - Tree bark beetle infestations threaten forests by harming biodiversity, carbon storage, and timber resources, highlighting the need for early detection and improved forest management practices.
- - An innovative intelligent system using multispectral images and generative-adversarial networks (GANs) was developed to assess bark beetle damage, achieving a classification accuracy of 87.5% while reducing reliance on large labeled datasets.
- - The research has important implications for forestry management and ecosystem preservation, emphasizing the need for responsible implementation, integration with traditional ecological knowledge, and addressing potential risks like data misinterpretation and privacy concerns.
This article proposes a novel approach to assess the degree of activity of pulmonary tuberculosis by active tuberculoma foci. It includes the development of a new method for processing lung CT images using an ensemble of deep convolutional neural networks using such special algorithms: an optimized algorithm for preliminary segmentation and selection of informative scans, a new algorithm for refining segmented masks to improve the final accuracy, an efficient fuzzy inference system for more weighted activity assessment. The approach also includes the use of medical classification of disease activity based on densitometric measures of tuberculomas.
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