From Structure to Diagnosis in medical education: An Analysis of Linguistic Features in Iranian Medical Reporting by Mahboub Amani, Nader Asadi, Masoud Zoghi

“…Background:  Technological progress in medicine necessitates linguistic analysis of diagnostic reports. This study explores the linguistic functions of medical diagnostic reports, by focusing on Radiology Case Reports (RCRs), Magnetic Resonance Imaging (MRI) reports, and Computed Tomography-Scan (CT-scan) reports.Method: This descriptive study analyzed a corpus of 300 diagnostic medical reports from Tabriz Medical Science University over a three-month period (Autumn 2024). …”
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Vision-Based Drone Detection in Complex Environments: A Survey by Ziyi Liu, Pei An, You Yang, Shaohua Qiu, Qiong Liu, Xinghua Xu

“…We first explore the imaging and drone characteristics in complex environments and summarize the main challenges of visual UAV detection. …”
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Reduced Cortical Complexity in Cirrhotic Patients with Minimal Hepatic Encephalopathy by Qiu-Feng Chen, Xiao-Hong Zhang, Tian-Xiu Zou, Nao-Xin Huang, Hua-Jun Chen

“…Conclusion. Aberrant cortical complexity is an additional characteristic of MHE, and FD analysis may provide novel insight into the neurobiological basis of cognitive dysfunction in MHE.…”
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Optimizing Fire Scene Analysis: Hybrid Convolutional Neural Network Model Leveraging Multiscale Feature and Attention Mechanisms by Shakhnoza Muksimova, Sabina Umirzakova, Mirjamol Abdullaev, Young-Im Cho

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Role of artificial intelligence in medical radiology and imaging by Mohd Arfat, T. K. Nisha, Sapna Sahu, Mohd Rashid

“…Adopting deep learning algorithms has significantly advanced image analysis and disease detection. This study explores how AI is reshaping the roles of radiologists and radiographers. …”
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Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis by Potito Valle Dell’Olmo, Oleksandr Kuznetsov, Emanuele Frontoni, Marco Arnesano, Christian Napoli, Cristian Randieri

“…Convolutional neural networks (CNNs) have established themselves over time as a fundamental tool in the field of copy-move forgery detection due to their ability to effectively identify and analyze manipulated images. Unfortunately, they still represent a persistent challenge in digital image forensics, underlining the importance of ensuring the integrity of digital visual content. …”
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Pixel-Based Machine Learning in Medical Imaging by Kenji Suzuki

“…Machine learning (ML) plays an important role in the medical imaging field, including medical image analysis and computer-aided diagnosis, because objects such as lesions and organs may not be represented accurately by a simple equation; thus, medical pattern recognition essentially require “learning from examples.” …”
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Projectional images in theatre: Modes of (media)presence by P. V. Baulina

“…The text offers a complex analysis of practices of using projectional images in contemporary theatre aimed at achieving the effect of (media)presence.…”
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Quantitative imaging of protein interactions in the cell nucleus by Ty C. Voss, Ignacio A. Demarco, Richard N. Day

“…In the wake of this rapid progress, however, come important issues associated with the acquisition and analysis of ever larger and more complex digital imaging data sets. …”
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Seed purity assessment by means of spectral imaging by G.V. Nesterov, A.V. Guryleva, A.A. Zolotukhina, D.S. Fomin, D.S. Fomin, Y.K. Shashko, A.S. Machikhin

“…Approaches are proposed for choosing the training sample size, the number and position of central wavelengths of video spectrometer channels used in analysis, and a method for segmenting spectral images to form a training sample. …”
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Modern Trends in Imaging VIII: Lensfree Computational Microscopy Tools for Cell and Tissue Imaging at the Point-of-Care and in Low-Resource Settings by Serhan O. Isikman, Alon Greenbaum, Myungjun Lee, Waheb Bishara, Onur Mudanyali, Ting-Wei Su, Aydogan Ozcan

“…Such high throughput and miniaturized imaging devices can provide a complementary toolset for telemedicine applications and point-of-care diagnostics by facilitating complex and critical tasks such as cytometry and microscopic analysis of e.g., blood smears, Pap tests and tissue samples. …”
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Large models in medical imaging: Advances and prospects by Mengjie Fang, Zipei Wang, Sitian Pan, Xin Feng, Yunpeng Zhao, Dongzhi Hou, Ling Wu, Xuebin Xie, Xu-Yao Zhang, Jie Tian, Di Dong, Yuanyuan Ji

“…Recent advances in large models demonstrate significant prospects for transforming the field of medical imaging. These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in processing and interpreting complex medical data across various imaging modalities. …”
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Simultaneous analysis of molecular positions and coordination bond formations by frequency modulation atomic force microscopy in liquid by Ryosuke Izumi, Masayuki Morimoto, SK Asif Ikbal, Shigehisa Akine, Akio Ohta, Hitoshi Asakawa

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Assessing Lightweight Folding UAV Reliability Through a Photogrammetric Case Study: Extracting Urban Village’s Buildings Using Object-Based Image Analysis (OBIA) Method by Junyu Kuang, Yingbiao Chen, Zhenxiang Ling, Xianxin Meng, Wentao Chen, Zihao Zheng

“…To address this challenge, this study acquired the remote sensing data of a peri-urban area using the DJI Mavic 3 Enterprise and applied Object-Based Image Analysis (OBIA) to extract high-density buildings. …”
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‘Self-Image’ Features in Gifted Senior Preschoolers by Elena S. Belova

“…All this indicates a greater volume and greater degree of cognitive complexity and differentiation of the ‘self-image’ in the gifted senior preschoolers compared to their peers. …”
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MCIDN: Deblurring Network for Metal Corrosion Images by Jiaxiang Wang, Meng Wan, Pufen Zhang, Sijie Chang, Hao Du, Peng Shi, Hongying Yu, Dongbai Sun, Jue Wang, Yangang Wang

“…The analysis of corrosion images is crucial in materials science, where acquiring clear images is fundamental for subsequent analysis. …”
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Medical Image Encryption Techniques: A Review by zainab alhakak

“…In the majority of hospitals and clinics, doctors currently employ medical images, including brain MRIs, ultrasounds, and X-ray images, to diagnose a variety of severe diseases. …”
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An Effective Method for Borehole Imaging of Buried Tunnels by Loreto Di Donato, Rosa Scapaticci, Tommaso Isernia, Ilaria Catapano, Lorenzo Crocco

“…Since this requires to drill holes in the soil wherein the transmitting and receiving antennas have to be positioned, low complexity of the involved apparatus is important. On the other hand, to effectively image the surveyed area, there is the need for adopting efficient and reliable imaging methods. …”
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Integrated diagnostic analysis of ejecta from lead with micro-defects under detonation loading by Dasen Xu, Huaipu Kang, Liang Qiao, Haoyu Chen, Tiegang Tang, Guowu Ren, Yongtao Chen

“…Concurrently, high-speed X-ray imaging offered two-dimensional density distributions, which were processed via Abel inversion to obtain three-dimensional ejecta profiles.ResultsThe combined approach successfully resolved both dense and sparse ejecta layers, revealing complex velocity gradients ranging up to nearly 3000 m/s and indicating localized tensile failures driven by micro-defects. …”
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Advancing Seabed Bedform Mapping in the Kuźnica Deep: Leveraging Multibeam Echosounders and Machine Learning for Enhanced Underwater Landscape Analysis by Łukasz Janowski

“…Advances in remote sensing, particularly, object-based image analysis (OBIA) and machine learning, have significantly improved geospatial data analysis for underwater landscapes. …”
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