Аdrenal tumors: management tactics by L. Yu. Morgunov

“…The size of the lesion detected on computed tomograms exceeding 4-6 cm, its uneven edge or heterogeneity of the structure, an attenuation coefficient of 10 Hounsfield units or higher with a non-contrast study, washout of the contrast agent after 10 or 15 minutes by less than 40%, calcification and invasion in the surrounding tissues suggest the malignancy of the adrenal gland lesion, the likelihood of this increases with a combination of these signs. The developed visualization methods and laboratory evaluation allow to assess their morphological structure and functionality with high confidence. …”
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Multimodal deep learning for cephalometric landmark detection and treatment prediction by Fei Gao, Yulong Tang

“…Traditional approaches rely on manual landmark identification, which is time-consuming and subject to inter-observer variability, while existing automated methods typically utilize single imaging modalities with limited accuracy. …”
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Semi-automated protocol to quantify and characterize fluorescent three-dimensional vascular images. by Danny F Xie, Christian Crouzet, Krystal LoPresti, Yuke Wang, Christopher Robinson, William Jones, Fjolla Muqolli, Chuo Fang, David H Cribbs, Mark Fisher, Bernard Choi

“…Three-dimensional (3D) imaging presents a more appropriate method to visualize the vascular architecture in tissue. …”
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DETERMINATION OF THE BEST OPTIMIZER FOR A NEURONETWORK IN THE DEVELOPMENT OF AUTOMATIC IMAGE TAGGING SYSTEMS by Andrian Kozynets

“…Comparing these optimizers allows us to determine the most suitable optimizer for solving specific machine learning problems. Methods and tools. The TensorFlow library and the TensorBoard machine learning visualization interface were used to train and test the models. …”
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MODERN APPROACHES TO PREVENTION, EVALUATION AND TREATMENT OF COMPLICATIONS ASSOCIATED WITH ENDOVASCULAR CORONARY ARTERY INTERVENTIONS. PART III. LOSS AND MIGRATION OF CORONARY STEN... by S. A. Prozorov

“…When the removal of the stent is impossible, the «crush» method may be used. By moving the stent into the distal bed further complications usually does not occur.…”
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Biomedical Data Analysis Systems for the Diagnosis of Skin Neoplasms by O. O. Myakinin

“…On the other hand, in the last two decades, noninvasive optical diagnostic methods have been actively developed, for example, digital dermatoscopy for visualization of surface neoplasms and Optical Coherence Tomography (OCT) for obtaining spatial scans. …”
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Lubrication state identification of vibration time-frequency characteristics based on CWT and CNN by Haijie Yu, Haijun Wei

“…Results demonstrated exceptional performance: the model achieved 99.8% training accuracy and 100% test accuracy, significantly outperforming traditional methods (RMS + CNN: 63.8%; PSD + CNN: 73.4%; CWT + SVM: 76.3%). t-SNE visualization confirmed distinct feature separation among lubrication states, and the confusion matrix revealed flawless classification on the test set. …”
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Comparative analysis of effective data protection practices in healthcare: Russia and international standards by Diana A. Lebedeva

“…A comparative legal analysis has been conducted on the legislation and practices regarding the protection of patients' personal data in the healthcare systems of Russia, the USA, the EU, China, and several other Asian countries. The main research methods employed include comparative-legal analysis, formal-legal analysis, expert-analytical methods, visualization techniques, and structural analysis. …”
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Machine learning-based prediction of speed of sound in fatty acid ethyl esters by Kusum Yadav, Shahad Almansour, Lulwah M. Alkwai, Anupam Yadav, Mehrdad Mottaghi

“…The proposed framework provides a reliable, cost-effective alternative to experimental methods for estimating sound speed in FAEEs under various physical conditions.…”
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Dependence modeling in general insurance using local Gaussian correlations and hidden Markov models by Afazali Zabibu, Gundersen Kristian, Kasozi Juma, Omala Saint Kizito, Støve Bård

“…Regime-aware value-at-risk (VaR) and tail VaR estimates derived from the LGC-HMM, using a proposed simulation procedure, outperform static copula models by adapting to structural changes, demonstrating robust forecasting performance. Visualization of forecasts via LGC maps further illustrates evolving tail dependencies. …”
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Topic diagnostics of coronary pathology in coronary heart disease patients by contrast stress echocardiography with dipyridamole by S. T. Matskeplishvili, E. U. Asymbekova, E. A. Ayazyan, V. I. Ioshina, T. V. Kavtiashvili

“…The results of traditional S-EchoCG and CS-EchoCG with dipyridamole were compared with coronaroangiography (CAG) data. Results. Both methods of EchoCG visualization were highly informative for topic diagnostics of coronary atherosclerosis – 91%, comparing with CAG results. …”
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Adopting Business Intelligence to Enhance Cross-Dock Operations by Jakub Andar, Jakub Dyntar

“…Objective: The objective of this study was to integrate business intelligence (BI) tools with cross-dock operation data to optimize warehouse layout and improve decision making processes. Methods: A combination of Microsoft Visio and Microsoft Power BI was used to visualize and optimize warehouse layout based on historical cross-dock operation data. …”
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Image Alignment Based on Deep Learning to Extract Deep Feature Information from Images by Lin Zhu, Yuxing Mao, Jianyu Pan

“…The visualization results validate the significant improvement in the features’ visual quality and confirm the method’s advantages in terms of stability and discriminative properties of deep feature extraction.…”
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Purposeful search and characteristic of anti-inflammatory activity of sodium (3-R-2-оxo-2Н-[1,2,4]triazino[2,3-c]quinazolin-6-yl)alkylcarboxylates and their halogen containing anal... by V. V. Yakubovska, N. М. Seredinska, О. Yu. Voskoboynik, G. І. Stepanyuk, S. І. Kovalenko

“…The approaches for creating novel agents with anti-inflammatory activity among sodium (3-R-2-oxo-2Н-[1,2,4]triazino[2,3-c]quinazolin-6-yl)alkylcarboxylates and their halogen containing analogues were described in presented article. Methods and results. Mentioned methods have been based on combination of «in silico» screening with experimental studies. …”
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A Diagnosis Framework for High-reliability Equipment with Small Sample Based on Transfer Learning by Jinxin Pan, Bo Jing, Xiaoxuan Jiao, Shenglong Wang, Qingyi Zhang

“…As a result, the fault diagnosis rate increases by 28.6% through our proposed model, which is more precise than other classical methods. The results of feature visualization further demonstrate that the features are more distinguished through the proposed method. …”
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A Column Encryption-Based Privacy-Preserving Framework for Hadoop Big Data Sets by Hidayath Ali Baig

“…Several publications suggest methods to secure big data. Each technique has advantages and disadvantages. …”
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Evaluation of Data Acquisition Areas in Geotechnical Seismic Tests: Insights from Field Applications by Gunwoong Kim

“…These tests are essential in ensuring the safety, reliability, and performance of civil engineering projects and are increasingly used for 3D geographical visualization and subsurface modeling. While point-based tests like the cone penetration test (CPT) and standard penetration test (SPT) are widely used, area-based methods such as the spectral analysis of surface waves (SASW) and electrical resistivity testing significantly enhance the accuracy of such models by providing broader coverage. …”
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A model for identifying project sprint tasks based on their description by Marina Grinchenko, Mykyta Rohovyi

“…The article solves the following tasks: analyzing research on the classification and visualization of project tasks, developing an algorithm that can automatically classify text descriptions of sprint tasks, collecting and preparing a training sample of text descriptions of sprint tasks for training and testing the classification model, applying natural language processing methods to improve classification and ensure the accuracy of the results, validating the model on real data to assess the efficiency and accuracy of classification, and analyzing the results. …”
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A model for identifying project sprint tasks based on their description by Марина Гринченко, Микита Роговий

“…The article solves the following tasks: analyzing research on the classification and visualization of project tasks, developing an algorithm that can automatically classify text descriptions of sprint tasks, collecting and preparing a training sample of text descriptions of sprint tasks for training and testing the classification model, applying natural language processing methods to improve classification and ensure the accuracy of the results, validating the model on real data to assess the efficiency and accuracy of classification, and analyzing the results. …”
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Working Conditions and Morbidity of Paramedical Personnel (Omsk, Russia) by Natal’ya Yu. Kryuchkova, Irina I. Novikova

“…To interpret the results, we used the methods of descriptive and nonparametric statistics as well as cognitive visualization. …”
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