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Ultrasound Image Segmentation by Using Wavelet Transform and Self-Organizing Neural Network
Neural Information Processing – Letters and Reviews. 2006. Vol. 10. No. 8-9. P. 183–191.
Iscan Z., Kurnaz M. N.
This paper presents an improved incremental self-organizing map (I2SOM) network that uses automatic threshold (AT) value for the segmentation of ultrasound (US) images. In order to show the validity of proposed scheme, it has been compared with Kohonen’s SOM. Two-dimensional (2D) fast Fourier transform (FFT) and 2D continuous wavelet transform (CWT) were computed in order to form the feature vectors of US bladder and phantom images. In this study, it is observed that the proposed automatic threshold scheme for ISOM network has significantly eliminated the former ISOM network’s threshold problem for US images. This improvement enhances the robustness of ISOM algorithm. Obtained results show that ISOM with AT value has similar segmentation performance with Kohonen’s network.
Priority areas:
engineering science
Language:
English
Lev Pyatko, Sergey Aksenov, Regular and Chaotic Dynamics 2026 Vol. 31 No. 5 P. 794–813
In the circular restricted three-body problem, families of periodic and quasi-periodic orbits exist in the vicinity of the libration points and are of significant interest for practical applications. This work presents a neural network-based algorithm for orbit construction and station-keeping, applicable to both periodic and quasi-periodic orbits near collinear libration points. The method employs a ...
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Sakevich V. I., Демографическое обозрение 2026 Т. 13 № 3 С. 4–28
The article analyzes modern legislation regarding artificial termination of pregnancy in countries around the world. Depending on the grounds on which abortion is permitted, five groups of countries are distinguished. Estimates have shown that about 60% of women of reproductive age live in countries with liberal legislation, where abortion is allowed at the request of ...
Added: October 15, 2026
Lungu M. M., Davitadze A., Frontiers in Public Health 2026 Vol. 14 Article 1919768
Malaria control in Malawi relies primarily on long-lasting insecticide-treated nets (LLITNs) and indoor residual spraying (IRS), but transmission remains heterogeneous across districts. Previous research indicates that community-based environmental management strategies, such as routine drainage maintenance, vegetation removal, and effective household waste disposal, may reduce environmental conditions conducive to malaria vector proliferation. This study investigated the ...
Added: October 15, 2026
Rozhdestvenskaya E., Abramov R., Журнал социологии и социальной антропологии 2026 Т. 29 № 3 С. 244–274
The article presents an experimental study at the intersection of social anthropology and qualitative sociology. The empirical basis is a corpus of 18 short biographical sketches of collective farm peasant women from the village of Vysheley, Penza Region, created at the end of the Soviet period by school local historians and discovered by one of the authors during a ...
Added: October 7, 2026
Aly Ismailov, Poptsova M., Plos One 2026 Vol. 21 No. 9 Article e0355902
Added: October 2, 2026
Portnoy S., Efremov A., Voloshin A., , in: 2026 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO).: Petrozavodsk: IEEE, 2026. P. 1–4.
This paper presents a deep learning-based optimization of a list-decoding algorithm for a concatenated Hamming-Reed-Solomon code transmitted over an AWGN channel with BPSK modulation. The proposed method reformulates early termination of the erasure-pattern list as a weighted regression problem, addressing class imbalance through an asymmetric Weighted Mean Squared Error (WMSE) loss function that penalizes index ...
Added: October 1, 2026
Shishkin S., Almazov A., Vlassov V. et al., Электронный научный журнал "Социальные аспекты здоровья населения" 2026 Т. 72 № 4 Статья 4
Abstract
Significance. The epidemiological, clinical, and socioeconomic effects of healthcare digitalization are actively discussed in the scientific literature. Less attention has been paid to changes in the organization of healthcare resulting from the introduction of digital technologies. These changes have not been the subject of specific research. However, digital technologies is becoming a driver for the ...
Added: September 29, 2026
Ugleva A. V., Социологическое обозрение 2026 Т. 25 № 3 С. 268–293
This article undertakes a socio-philosophical analysis of a situation in which the place of the Other within the structure of subjective experience is occupied by an algorithmic agent – an entity that simulates understanding yet remains devoid of genuine subjectivity. To investigate this configuration, the author turns to psychiatric practice as a representative case study: ...
Added: September 26, 2026
Тыров И. А., Васильев Ю. А., Владзимирский А. В. et al., Труды Института системного анализа Российской академии наук 2026 Т. 76 № 3 С. 79–89
Large language models (LLMs) in healthcare currently attract significant interest. This study compared GigaChat and YandexGPT by evaluating 1,200 LLM-generated responses to physician queries from outpatient and inpatient settings across 7 topics. Thirteen expert physicians assessed the responses using a 5-point scale across five criteria: relevance, correctness, safety, completeness, and language literacy. We performed paired ...
Added: September 22, 2026
Aleksei Samarin, Nazarenko A., Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 844–854
Improving image quality is becoming an increasingly popular task, especially when working with mobile devices. One common approach to image enhancement is the use of convolutional neural networks. However, to achieve good results, such networks must be large enough, otherwise there is a risk of unwanted artifacts. In addition, large convolutional neural networks require significant ...
Added: September 21, 2026
Aleksei Samarin, Aleksei Toropov, Alexander Savelev et al., , in: Pattern Recognition. ICPR 2024 International Workshops and Challenges. Kolkata, India, December 1, 2024, Proceedings, Part III. LNCS, volume 15616.: Cham: Springer, 2025. P. 308–320.
This research explores an innovative approach to enhancing the accuracy of detecting small microorganisms in complex microscopic environments. Our study introduces a streamlined, hybrid image pre-processing model specifically designed to address the challenges of identifying diplococci in live microscopy of dynamic samples. By integrating pre-defined filtering techniques with predictive adjustments for optimal applicability, our method ...
Added: September 21, 2026
Чеботарева О. Е., Пирогов А. А., Antipenko I. et al., Доклады российской академии наук. Науки о жизни 2026 Т. 529 № 1 С. 389–395
Preeclampsia (PE) is a severe obstetric complication caused by chronic placental ischaemia. Genome-wide profiling of microRNA isoforms in two trophoblast hypoxia models (CoCl2 and the oxyquinoline derivative neuradapt, BeWo b30 cells) and clinical PE samples (placental tissue, syncytiotrophoblast vesicles) revealed concordant downregulation of hsa-miR-143-3p isoforms. Under a strict fold-change threshold, the canonical isoform (21 nt) ...
Added: September 16, 2026
Koriakina M., Ntoumanis I., Blagoveshchensky E. et al., Frontiers in Human Neuroscience 2026 Vol. 20 Article 1754368
Introduction:
Understanding how we perceive and interpret the movements of other living beings is fundamental to social interaction, survival, and navigating our dynamic environment. Traditional studies of biological motion perception have predominantly employed simplified stimuli, such as point-light displays, which sacrifice ecological validity for experimental control.
Methods:
To overcome this limitation, we created a novel stimulus set featuring ...
Added: September 15, 2026
Bug D. S., Kuzovenkova D. A., Tishkov A. V. et al., Biochemical Genetics 2026
Deciphering the evolutionary history of genes is foundational for biomedical research, enabling the identification of compensatory mutations in disease-associated genes and the selection of evolutionarily relevant model organisms. However, challenges of multi-isoform handling, the presence of incomplete genomes/proteomes initial datasets, and problems of evolutionary history representation are still present. To address these issues, we introduce ...
Added: September 14, 2026
Lebedev O. B., Шмелева А. Г., Гежа Н. С., Информатика и автоматизация (Труды СПИИРАН) 2026 Т. 25 № 3 С. 720–750
This paper describes the development of a neural network model for automated analysis of medical data in electrophysiology based on deep learning methods. The relevance of this work stems from the growing need to improve the objectivity, speed, and accuracy of processing complex spatiotemporal signals, such as ECG or EEG. Convolutional neural networks (CNNs), which ...
Added: September 10, 2026
Kang J., Kim H. J., Kim M. S. et al., Nature Medicine 2026 No. 32 P. 527–544
Added: September 9, 2026
Proskurnina E., Liaukovich K., Bychkovskaya L. et al., Metabolites 2023 Vol. 13 No. 1 P. 73
Added: September 7, 2026
Vyacheslav D. Neverov, Lukyanov A., Andrey V. Krasavin et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 No. 2 Article 024515
We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...
Added: September 5, 2026
Zaikin A., Vlasenko D., Zakharov D. et al., Diagnostics 2026 Vol. 16 No. 17 Article 2746
Background/Objectives: Synolitic graphs (SGs) were developed for task-based fMRI, where
edge weights encode the discriminative power of pairwise regional features; whether similar
information can be recovered from resting-state data was untested. We benchmarked
SGs for autism spectrum disorder (ASD) classification using the multisite ABIDE-I dataset
(871 subjects: 403 subjects with ASD, 468 typical controls; 17 sites; CC200 atlas). Methods:
Using ...
Added: August 27, 2026
Knight M., Bienhoff K., A B. et al., The Lancet Public Health 2026 Vol. 11 No. 9 P. e604–e629
Background
Understanding the size, gender composition, and cadre mix of the health workforce and how it has evolved across time and locations can inform policies for planning, recruitment, training, and retention of human resources for health (HRH), and improvement of access to the health-care workforce among populations. Using comparable and standardised data sources, we aim to ...
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Moshkin A., Fedorov M., Arlazarov V. et al., Algorithms 2026 Vol. 19 No. 7 Article 523
Artificial intelligence (AI) technologies, which are being actively developed in modern medicine today, increase the speed and quality of patient care. This article mainly seeks to demonstrate the use of various options of computer analysis of clinical images to solve practical problems of increasing the efficiency of routine diagnostics using retrospective analysis, as well as ...
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Shartova N., Mironova E., Geo Journal 2026 Vol. 91 Article 78
The historical timeline of urban development profoundly shapes the contemporary form and functionality of cities. Traditionally, cities were planned with limited consideration for the promotion of a healthy urban environment. Using Nizhny Novgorod, Russia, a city that has evolved from a medieval market town to an industrial centre and later into a multifunctional city with ...
Added: August 9, 2026
Razo C., DeCleene N., Johnson C. et al., JAMA - Journal of the American Medical Association 2026 Vol. 336 No. 8 P. 673–696
Importance Elevated low-density lipoprotein cholesterol (LDL-C) is a modifiable risk factor for cardiovascular disease, the leading cause of premature death worldwide. Assessing the LDL-C–related burden is critical for guiding prevention and treatment strategies.
Objectives To estimate the global, regional, and national burden of ischemic heart disease and ischemic stroke attributable to elevated LDL-C (relative to 35-54 mg/dL) from ...
Added: August 4, 2026
Seul: PMLR, 2026.
Added: June 4, 2026