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  1. 741

    AI and Deep Learning for Image-Based Segmentation of Ancient Masonry: A Digital Methodology for Mensiochronology of Roman Brick by Lorenzo Fornaciari

    Published 2025-06-01
    “…This process, while providing a high degree of accuracy and understanding, is extremely time- and resource-consuming. …”
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    Article
  2. 742
  3. 743

    Research on intelligent identification of microscopic substances in shale scanning electron microscope images based on deep learning theory by Ruigang Zhang, Xiangru Chen, Xin Tang, Qiuqi Chen, Sen Guo, Cheng Liu, Zhengchao Guo, Yuerong Zhou, Xiaoyi Zhou

    Published 2025-04-01
    “…This approach has subjective limitations and makes it difficult to process images in batches on a large scale. We take the scanning electron microscope image as the research object, and the shale deep learning theory as the research method to realize the intelligent identification of microscopic substances in the shale scanning electron microscope image. …”
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    Article
  4. 744

    A Method for Enhancing the Contrast of Medical Video Images with Adaptive Correction Depth for Clinical Decision Support Systems by A. A. Pozdeev

    Published 2022-11-01
    “…To develop a method for enhancing the contrast of endoscopic images taking into account their features with the purpose of increasing the efficiency of medical diagnostic systems.Materials and methods. …”
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    Article
  5. 745

    Perhitungan Luas Daun Tanaman Kayu Putih (Melaleuca leucadendra) dengan Manual dan Digital (ImageJ) by Choirul Umam, Abdurrahman ‘Uluwiy, Rohmatul Auliya, Ratna Nurshakti Putri, Muhammad Tsabit Alwi

    Published 2025-02-01
    “…This research is expected to be an alternative to practical and calibrated leaf area measurements because the calculation process is carried out automatically through images and processed by the application. …”
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    Article
  6. 746
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  8. 748

    Revealing the past of Ginah archaeological site by enhancing GPR images to understand ancient periods at Kharga Oasis, Egypt by Mohamed Osman Ebraheem, Hamza Ahmed Ibrahim, Mahmoud Mohamed Zalat

    Published 2025-07-01
    “…This method is beneficial for imaging, characterization, and intrasite analysis of buried archaeological remains within culture sediments at Ginah archaeological site. …”
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    Article
  9. 749

    USE OF INTEGRATED DIFFUSION-WEIGHTED MAGNETIC-RESONANCE IMAGING IN PRE-OPERATIVE EVALUATION OF RESECTABILITY OF ADVANCED OVARIAN CANCER by A. E. Solopova, S. K. Ternovoy, V. I. Alipov, A. D. Makatsariya

    Published 2017-08-01
    “…The aim of the study was to compare the diagnostic potential of integrated diffusion-weighted magnetic-resonance imaging (DW-MRI) with multi-spiral computed tomography (MSCT) in pre-operative evaluation of resectability of advanced ovarian cancer. …”
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    Article
  10. 750

    An explainable AI-driven deep neural network for accurate breast cancer detection from histopathological and ultrasound images by Md. Romzan Alom, Fahmid Al Farid, Muhammad Aminur Rahaman, Anichur Rahman, Tanoy Debnath, Abu Saleh Musa Miah, Sarina Mansor

    Published 2025-05-01
    “…However, traditional diagnostic processes relying on manual analysis of medical images are inherently complex and subject to variability between observers, highlighting the urgent need for robust automated breast cancer detection systems. …”
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    Article
  11. 751

    Clinical Validation of a Computed Tomography Image-Based Machine Learning Model for Segmentation and Quantification of Shoulder Muscles by Hamidreza Rajabzadeh-Oghaz, Josie Elwell, Bradley Schoch, William Aibinder, Bruno Gobbato, Daniel Wessell, Vikas Kumar, Christopher P. Roche

    Published 2025-07-01
    “…Incorporating these CT image-based measurements into the pre-operative planning process may facilitate more personalized treatment decision making, and help orthopedic surgeons make more evidence-based clinical decisions.…”
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    Article
  12. 752

    A novel method for measuring heat injury in leaves provides insights into the sequence of processes of heat injury development by Clara Bertel, Gilbert Neuner

    Published 2025-07-01
    “…Conclusion Since heat injury results from multiple processes, a holistic understanding requires the acquisition of parameters indicative of different processes. …”
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    Article
  13. 753
  14. 754

    Optimization of endocrine pancreas fluorescence analysis using machine methods by T. V. Ivanenko, A. V. Abramov

    Published 2022-06-01
    “…The study aims to establish the appropriate parameters of UV excitation intensity and permanent excitation time on the pancreatic islets photobleaching, the ratio of the intensity of the useful signal in the region of interest to the intensity of nonspecific background fluorescence. Materials and methods. The pancreas of three adult Wistar rats was fixed in Bouin solution (20 hours) and poured into paraplast after standard histological processing. …”
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    Article
  15. 755

    AI for Sustainable Recycling: Efficient Model Optimization for Waste Classification Systems by Oriol Chacón-Albero, Mario Campos-Mocholí, Cédric Marco-Detchart, Vicente Julian, Jaime Andrés Rincon, Vicent Botti

    Published 2025-06-01
    “…By improving waste sorting accuracy, these systems can help reduce landfill use, support citizen engagement through real-time feedback, increase material recovery, support data-informed environmental decision making, and ease operational challenges for recycling facilities caused by misclassified materials. …”
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    Article
  16. 756
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    Production machines maintenance based on digitalization by A. K. Tugengold, R. N. Voloshin, A. R. Yusupov, T. N. Kruglova

    Published 2019-04-01
    “…It is based on the proposed algorithm for an autonomous control of the process state.Discussion and Conclusions. The construction of machine digital images in accordance with the main stages of its life cycle is described. …”
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  18. 758
  19. 759

    Material Characterization and Technological Properties of Biocompatible Ti-12Al-42Nb Spherical Powder Alloy for Additive Manufacturing of Personal Medical Implants by Alexander Anokhin, Andrey Kirsankin, Elena Kukueva, Alexander Luk’yanov, Maria Chuvikina, Elena Ermakova, Svetlana Strelnikova, Stepan Kupreenko

    Published 2025-01-01
    “…The powder sphericity coefficient (PSC) was 1.02. Image J software was used to calculate the spherical degree by processing images sets from scanning electron microscopy (SEM) and optical microscopy (OM). …”
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  20. 760