Application of the U-Net Deep Learning Model for Segmenting Single-Photon Emission Computed Tomography Myocardial Perfusion Images by Ahmad Alenezi, Ali Mayya, Mahdi Alajmi, Wegdan Almutairi, Dana Alaradah, Hamad Alhamad

“…Detection and diagnosis of CAD are complex processes requiring precise and accurate image processing. …”
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MEANS OF IMAGE CREATION OF RUSSIAN MILITARY MEN IN ENGLISH TEXTS ABOUT THE CRIMEAN WAR (1853-1856): LINGUOIMAGOLOGICAL ASPECT by Andriy A. Moroz

“…These findings are relevant to fields such as histor- ical discourse analysis, linguocultural studies, and intercultural communication and may serve as a founda- tion for further studies of national images in literary or historical contexts.…”
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Real-Time Detection and Localization of Force on a Capacitive Elastomeric Sensor Array Using Image Processing and Machine Learning by Peter Werner Egger, Gidugu Lakshmi Srinivas, Mathias Brandstötter

“…The system offers robust performance in complex interactions and a scalable solution for soft robotics and prosthetic force mapping, supporting health monitoring, safe automation, and medical diagnostics.…”
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Apple Yield Estimation Method Based on CBAM-ECA-Deeplabv3+ Image Segmentation and Multi-Source Feature Fusion by Wenhao Cui, Yubin Lan, Jingqian Li, Lei Yang, Qi Zhou, Guotao Han, Xiao Xiao, Jing Zhao, Yongliang Qiao

“…The DeepLabv3+ network, optimized with Convolutional Block Attention Module (CBAM) and Efficient Channel Attention (ECA), improved fruit tree image segmentation accuracy. Four structural feature ratios were extracted, visible-light and multispectral vegetation indices were calculated, and feature selection was performed using Pearson’s correlation coefficient analysis. …”
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Advancing diabetic retinopathy diagnosis with fundus imaging: A comprehensive survey of computer-aided detection, grading and classification methods by S. Prathibha, Siddappaji

“…This is primarily due to the heterogeneity of retinal fundus images, which display diverse spatiotextural features and intricate vascular structures. …”
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Impact of Optical Imagery and Topography Data Resolution on the Measurement of Surface Fault Displacement Using Sub‐Pixel Image Correlation by Solène L. Antoine, Zhen Liu

“…Consequently, we observe, on average, a decrease by a factor ∼0.7–0.8 of the measured horizontal displacement when using 10 m compared to 0.5 m resolution imagery. Our analysis suggests that optical images of resolution of ≤1 m are necessary to accurately capture the complexity of the ground change. …”
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Assessing leaf nitrogen concentration in rice using RGB imaging: a comparative study at leaf, canopy, and plot scales by Haixiao Ge, Gaoqiang Lv, Yang Qin, Min Shen

“…While multispectral and hyperspectral sensing techniques enable precise LNC estimation, their high cost and technical complexity often hinder practical application. This study assesses RGB imaging as a cost-effective and accessible alternative for estimating rice LNC across leaf, canopy, and plot scales. …”
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ChatEarthNet: a global-scale image–text dataset empowering vision–language geo-foundation models by Z. Yuan, Z. Xiong, L. Mou, X. X. Zhu, X. X. Zhu

“…<p>The rapid development of remote sensing technology has led to an exponential growth in satellite images, yet their inherent complexity often makes them difficult for non-expert users to understand. …”
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Authors' dedicatory inscriptions on the books from the collection of Viktor Kolupaev, Tomsk science fiction and fantasy writer by I. V. Nikienko

“…The article presents the results of a complex analysis of dedicatory inscriptions on books gifted to Tomsk science fiction and fantasy writer Viktor Kolupaev by his colleagues. …”
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Cannabis use is not associated with altered levels of physical activity: evidence from the repeated cross-sectional Belgian Health Interview Survey by Brent Vernaillen, Brecht Devleesschauwer, Stijn Vansteelandt, Lydia Gisle, Sabine Drieskens, Elena Damian

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Design, assembly, alignment and application of a versatile, open-source, single-pixel microscope by Samuel I. Zapata-Valencia, Heberley Tobón-Maya, Luis Ordoñez, Andrea Farina, Jesús Lancis, Enrique Tajahuerce

“…DMD achievable framerates and wide spectral range has allowed SPM to develop a wide range of applications, including polarization state analysis, phase imaging, and fluorescence lifetime measurements. …”
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Particulate morphology of nanostructured materials by V. M. Gun'ko, O. I. Oranska, V. V. Paientko, I. Ya. Sulym

“… The aim of this study was to develop a technique to analyze the crystalline and particulate morphology of highly disperse complex metal and metalloid oxides, which include both crystalline and amorphous phases, using X-ray diffraction (XRD) data to compute crystallite size distributions (CSD) compared to the particles size distribution functions estimated from high-resolution transmission electron microscopy (TEM) images treated with specific software. …”
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Multi-Class Urinary Sediment Particles Detection Based on YOLOv7 With Attention Modules by Tatsuki Komori, Hiroki Nishikawa, Keita Sasaki, Ittetsu Taniguchi, Takao Onoye

“…However, the segmentation process for sediment particles in urine images is complex due to the inherent limitations of low contrast and weak edge characteristics. …”
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MMS-EF: A Multi-Scale Modular Extraction Framework for Enhancing Deep Learning Models in Remote Sensing by Hang Yu, Weidong Song, Bing Zhang, Hongbo Zhu, Jiguang Dai, Jichao Zhang

“…However, due to the complexity of remote sensing images, deep learning models face practical challenges in the preprocessing stage, such as incomplete extraction of large-scale geographic features, loss of fine details, and misalignment issues in image stitching. …”
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L’image animée comme artefact dans le cadre méthodologique d’une analyse clinique de l’activité by Daniel Faïta

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Exosomal BMPR2 Macromolecule Facilitates Alveolar Epithelial Cell Repair Through Functional Complex Formation with BMPR1B in Acute Lung Injury by Yun X, Chen Z, Li F, Shen F, Zhang L, Yuan J

“…The biodistribution of exosomes was tracked via near-infrared imaging, and AT2-to-AT1 transdifferentiation was assessed through multiplex immunofluorescence and pseudotime trajectory analysis.Results: Proteomic profiling of MD-Exos identified BMPR2 as the predominant component. …”
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Artifacts of Previous Eras, as Objects of Reverence by Ancient Populations (based on the materials of the archaeological places of Bukovyna) by Віталій Калініченко, Сергій Пивоваров

“…The article is devoted to the analysis of archaeological materials discovered during the study of archaeological places of Bukovyna, which do not fit into their historical and chronological context. …”
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A hybrid encryption framework leveraging quantum and classical cryptography for secure transmission of medical images in IoT-based telemedicine networks by Arslan Shafique, Syed Ali Atif Naqvi, Ali Raza, Masoud Ghalaii, Panagiotis Papanastasiou, Julie McCann, Qammer H. Abbasi, Muhammad Ali Imran

“…These multiple encryption operations aim to maximize randomness in the final ciphertext image. Additionally, to reduce computational complexity, only the Most Significant Bit-Planes (MSBs) are encrypted, as they contain more than 94% of the plaintext information. …”
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Liver margin segmentation in abdominal CT images using U-Net and Detectron2: annotated dataset for deep learning models by Mohammad Amir Sattari, Seyed Abed Zonouri, Ali Salimi, Saadat Izadi, Ali Reza Rezaei, Zahra Ghezelbash, Mohsen Hayati, Mehrdad Seifi, Milad Ekhteraei

“…Abstract The segmentation of liver margins in computed tomography (CT) images presents significant challenges due to the complex anatomical variability of the liver, with critical implications for medical diagnostics and treatment planning. …”
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Asymmetric white matter degeneration in amyotrophic lateral sclerosis: a diffusion kurtosis imaging study of motor and extra-motor pathways by Juan Carlos Quizhpilema, Ane Legarda, José Manuel Hidalgo, Pablo Lecumberri, Ivonne Jerico, Ivonne Jerico, Teresa Cabada, Teresa Cabada

“…This study investigated the potential of diffusion kurtosis imaging (DKI) as a non-invasive biomarker for detecting and monitoring ALS progression through a comprehensive analysis of white matter alterations.MethodsWe performed a cross-sectional analysis of magnetic resonance images with advanced diffusion imaging techniques in ALS patients recruited from a neurodegenerative consultation service over a 3-year period and healthy controls. …”
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