Formation of the Pre-Pensioner Segment in the Labor Market: Financial and Management Aspects by L. A. Zhigun, E. V. Kamneva, M. V. Polevaya, S. Zappala

“…The study assesses the scientific elaboration of the research topic abroad and in Russia. The issues of financial literacy of the population are analyzed. …”
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Three-Blind Validation Strategy of Deep Learning Models for Image Segmentation by Andrés Larroza, Francisco Javier Pérez-Benito, Raquel Tendero, Juan Carlos Perez-Cortes, Marta Román, Rafael Llobet

“…This allows for the unbiased evaluation of model performance and helps uncover patterns of disagreement that may indicate systematic issues with either human or machine annotations. The primary objective of this study is to introduce and demonstrate this validation strategy as a generalizable framework for robust model evaluation in subjective segmentation tasks. …”
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A Novel Network for Choroidal Segmentation Based on Enhanced Boundary Information by Wenbo Huang, Chaofan Qu, Yang Yan

“…To address these issues, this paper proposes an automatic choroid segmentation network, termed Boundary Enhancement Net (BENet), which enhances boundary information to facilitate precise recognition and achieve end-to-end automatic segmentation. …”
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Attention Swin Transformer UNet for Landslide Segmentation in Remotely Sensed Images by Bingxue Liu, Wei Wang, Yuming Wu, Xing Gao

“…The development of artificial intelligence makes it possible to rapidly segment landslides. However, there are still some challenges in landslide segmentation based on remote sensing images, such as low segmentation accuracy, caused by similar features, inhomogeneous features, and blurred boundaries. …”
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Enhancing UAS-Based Multispectral Semantic Segmentation Through Feature Engineering by Elena Vollmer, Mishal Benz, James Kahn, Leon Klug, Rebekka Volk, Frank Schultmann, Markus Gotz

“…The popular U-Net is utilized for the common task of multiclass semantic segmentation in remote sensing. A comprehensive ablation study is performed on a novel, uncrewed aircraft system-based dataset from two German cities to detect thermal urban features. …”
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Automatic Morpheme Segmentation for Russian: Can an Algorithm Re-place Experts? by Дмитрий Алексеевич Морозов, Тимур Александрович Гарипов, Ольга Николаевна Ляшевская, Светлана Олеговна Савчук, Борис Леонидович Иомдин, Анна Валерьевна Глазкова

“… Introduction: Numerous algorithms have been proposed for the task of automatic morpheme segmentation of Russian words. Due to the differences in task formulation and datasets utilized, comparing the quality of these algorithms is challenging. …”
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Long segment extensive transverse myelitis in a patient of ankylosing spondylitis by Vijay Sardana, Sunil Kumar Sharma, Dilip Maheshwari, Bharat Bhushan

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Adjusting U-Net for the aortic abdominal aneurysm CT segmentation case by R.U. Epifanov, N.A. Nikitin, A.A. Rabtsun, L.N. Kurdyukov, A.A. Karpenko, R.I. Mullyadzhanov

“…In this paper, we address the issue of developing of a convolutional neural network for the problem of aneurysm segmentation into three classes and of exploring ways for improving the quality of final segmentation masks. …”
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Spontaneous colonic rupture related to the segmental absence of muscularis propria in an adult by Chih-En Tseng, Shih-Pin Lin, Hou-Chi Huang, Mei-Chung Chin

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CTA image segmentation method for intracranial aneurysms based on MGLIA net by Lijie Hou, Jian Zhang, Lihui Zhao, Ke Meng, Xin Feng

“…When faced with a new hospital acquired imaging modality, it is usually necessary to redesign and train the segmentation network. In response to this issue, this article proposes a more universal segmentation model and develops the GLIA Net algorithm (MGLIA Net model) based on MoblieNet, which can perform adaptive target segmentation on aneurysm images collected under different conditions. …”
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EBTM: An Enumeration-Based Thresholding Method for Degraded Circular Dot Segmentation by Baoquan Shi, Qian He, Xianmin Chen, Wendong Zhang, Lin Yang

“…However, when degraded by factors such as specular highlights, low contrast, strong noise, or friction damage, accurately extracting them from the background becomes a significant challenge. To address this issue, an enumeration-based thresholding method (EBTM) is proposed for degraded circular dot segmentation. …”
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Segmentation protocols in the digital twins of monumental heritage: a methodological development by Valeria Cera, Massimiliano Campi

“…The aim is to verify whether the uncertainty of annotation is actually ascribable to a specific segment of the historical heritage, for example: the classical world, or whether the question is broader and as such in needs deeper thinking.…”
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On the use of clustering workflows for automated microstructure segmentation of analytical STEM datasets by Zhiquan Kho, Andy Bridger, Keith Butler, Ercin C. Duran, Mohsen Danaie, Alexander S. Eggeman

“…This study considers the issue of automated segmentation of scanning transmission electron microscopy (STEM) datasets using unsupervised machine learning approaches. …”
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EMSFomer: Efficient Multi-Scale Transformer for Real-Time Semantic Segmentation by Zhengyu Xia, Joohee Kim

“…Numerous attention variants have been proposed to address this issue, yet the overall performance and inference speed still have limitations. …”
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Post-Disaster Building Damage Segmentation Using Convolutional Neural Networks by Revaldi Rahmatmulya, Agung Teguh Wibowo Almais, Mokhamad Amin Hariyadi

“…Effective and efficient actions are needed to assist in the recovery following natural disasters, one of which is aiding in the identification of building damage levels post-disaster. To address this issue, this research proposes a system capable of performing segmentation to determine the level of building damage post-natural disaster using convolutional neural network methods. …”
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Frost forecasting via weakly-supervised semantic segmentation of satellite imagery by Seokho Kang, Seon-Kyeong Seong, Eunha Sohn, Jiyoung Kim, Jaewoong Shim

“…However, an important challenge arises from the limited availability of pixel-wise labels, as frost occurrence information is only available for pixels corresponding to frost observatories. To address this issue, we propose a weakly-supervised learning method for training the semantic segmentation model using satellite imagery with incomplete supervision. …”
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Discriminative Cross-Modal Attention Approach for RGB-D Semantic Segmentation by emad mousavian, Danial Qashqai, Shahriar B. Shokouhi

“…Scene understanding through semantic segmentation is a vital component for autonomous vehicles. …”
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An arbitrary segmentation method for loss allocation in power grids with distributed generation by Wenqiang Tao, Hongkun Chen, Lei Chen, Shengbin Chen

“…The issue of network loss allocation is crucial for the economic operation of power grids, as fair distribution ensures that participants allocate the cost of losses in proportion to their actual contributions. …”
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The feasibility of Kimny guiding catheter for ST-segment elevation myocardial infarction by Sou-Chan Tsai, Michael Yu-Chih Chen, Sing-Kai Chuo, Ji-Hung Wang

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A novel deep learning approach to field-road semantic segmentation by Bei Wang, Wenze Wang

“…This study presents a deep learning framework that implements a novel semantic segmentation model designed to segment field-road trajectories, addressing the marked differences in spatial characteristics. …”
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