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    Aortic Aneurysm Inflammatory Cell Detection with Deep Learning methods by Kristóf-Gergö Nagy, Csaba Szferle, Attila Fintha

    Published 2025-01-01
    “…Automated nucleus recognition was performed on 10 slides using the Biological Image Analysis program (BIAS, Single-Cell Technologies Ltd., Szeged, Hungary), and a training image database containing 10,781 elements was created. …”
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  4. 384

    A YOLO11-Based Method for Segmenting Secondary Phases in Cu-Fe Alloy Microstructures by Qingxiu Jing, Ruiyang Wu, Zhicong Zhang, Yong Li, Qiqi Chang, Weihui Liu, Xiaodong Huang

    Published 2025-07-01
    “…The improved YOLO11 model achieves an mAP of 89.0%, a precision of 84.6%, and a recall of 81.0% on this dataset, showing significant performance improvements while effectively balancing inference speed and model complexity. Additionally, a quantitative analysis software system for secondary phase uniformity based on this model provides strong technical support for automated metallographic image analysis and demonstrates broad application prospects in materials science research and industrial quality control.…”
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    ResST-SEUNet++: Deep Model for Accurate Segmentation of Left Ventricle and Myocardium in Magnetic Resonance Imaging (MRI) Images by Abduljabbar S. Ba Mahel, Mehdhar S. A. M. Al-Gaashani, Fahad Mushabbab G. Alotaibi, Reem Ibrahim Alkanhel

    Published 2025-06-01
    “…Limitations of earlier investigations include neglecting the complex image pre-processing required to accurately delineate areas of the LV and myocardium (Myo) in MRI and the absence of a substantial, high-quality dataset. …”
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    Intelligent measurement of adolescent idiopathic scoliosis x-ray coronal imaging parameters based on VB-Net neural network: a retrospective analysis of 2092 cases by Jinlong Liu, Haoran Zhang, Pei Dong, Danyang Su, Zhen Bai, Yuanbo Ma, Qiuju Miao, Shenyu Yang, Shuaikun Wang, Xiaopeng Yang

    Published 2025-01-01
    “…Abstract Background Adolescent idiopathic scoliosis (AIS) is a complex three-dimensional deformity, and up to now, there has been no literature reporting the analysis of a large sample of X-ray imaging parameters based on artificial intelligence (AI) for it. …”
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  9. 389

    Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applicat... by Asefa Adimasu Taddese, Assefa Chekole Addis, Bjorn T. Tam

    Published 2025-02-01
    “…The integration of diverse data types—ranging from sequencing and clinical data to proteomic and imaging data—highlighted the complexity and expansive scope of AI applications in these fields. …”
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  10. 390

    Neuro-Glio-Vascular Complexes of the Brain After Acute Ischemia by A. S. Stepanov, V. A. Akulinin, A. V. Mysik, S. S. Stepanov, D. B. Avdeev

    Published 2017-12-01
    “…In this experiment, neurons, astrocytes, endotheliocytes, pericytes, basal membrane of the microvessels were studied in the normal (n=5) and the reperfusion period (1, 3, 7, 14, 21 and 30 days, n=30) using electron and fluorescence microscopy (DAPI staining). The morphometric analysis was carried out using the ImageJ 1.46 software.Results. …”
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  11. 391

    Adjusting Xception Neural Network by Improved Human Evolutionary Optimizer for Fine Art Sorting by Tianfu Liu

    Published 2025-01-01
    “…This study tackles the problem of fine-art image classification that suffers from both the softness of styles and the absence of labelled datasets. …”
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    Efficient microstructure segmentation in three-dimensional imaging: Combining few-shot learning with the segment anything modelEarth/Chem by Po-Yen Tung, Richard J. Harrison

    Published 2025-07-01
    “…The application of three-dimensional (3D) imaging techniques, such as X-ray tomography and focussed ion beam scanning electron microscopy (FIB-SEM), is increasingly widespread in microstructural analysis of natural materials. …”
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    Diagnostic value of the MZXBTCH scoring system for acute complex appendicitis by Tianyi Ma, Qian Zhang, Hongwei Zhao, Peng Zhang

    Published 2025-01-01
    “…Among them, 28.4% (346/1,241) were diagnosed with complex appendicitis. The distribution of clinical features, laboratory results, and imaging findings was comparable between the two groups. …”
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