Showing 1,201 - 1,220 results of 20,631 for search '"Image"', query time: 0.12s Refine Results
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    Imaging of external auditory canal fractures associated with maxillofacial traumas by CBCT by Sinem Coşkun, Hatice Boyacıoğlu, Sema Dural

    Published 2019-11-01
    “…In the assessment of maxillofacial trauma patients, CBCT images should be carefully evaluated not to overlook EAC fractures.KEYWORDS Ear canal, Mandibular condyle, Multiple trauma…”
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    Super-resolution microscopy: Shedding new light on blood cell imaging by Huan Deng, Yan Ma, Yu-Hui Zhang

    Published 2025-01-01
    Subjects: “…Super-resolution imaging…”
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    Correlation of Image of Holy Trinity and Paradigm of Love in Russian Religious Philosophy by N. V. Mikhaylova

    Published 2013-06-01
    “…Holy Trinity in Russian religious philosophy through category of catholicity image of the and paradigm of the manifestation of the love. …”
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  6. 1206

    An improved particle swarm optimization for multilevel thresholding medical image segmentation. by Jiaqi Ma, Jianmin Hu

    Published 2024-01-01
    “…Multilevel thresholding image segmentation is one of the widely used image segmentation methods, and it is also an important means of medical image preprocessing. …”
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    Master's degree in diagnosis by medical imaging in consequence of the new era of bioimaging by Jose Cabrales Fuentes

    Published 2025-01-01
    “…Proposal of a master's program that aims to delve into the evolution of AI in medical imaging, where key techniques and technologies will be explored. …”
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    Role of Imaging in the Diagnosis and Management of Complete Androgen Insensitivity Syndrome in Adults by Marco Nezzo, Pieter De Visschere, Guy T'Sjoen, Steven Weyers, Geert Villeirs

    Published 2013-01-01
    “…Complete androgen insensitivity syndrome can be diagnosed as a result of mismatch between the prenatal sex prediction and the phenotype at birth, can be detected by chance, or remain undetected until investigations for primary amenorrhea. Imaging can be important both to diagnose the pathology and to localize gonads prior to surgical treatment. …”
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    Combined Kernel-Based BDT-SMO Classification of Hyperspectral Fused Images by Fenghua Huang, Luming Yan

    Published 2014-01-01
    “…To solve the poor generalization and flexibility problems that single kernel SVM classifiers have while classifying combined spectral and spatial features, this paper proposed a solution to improve the classification accuracy and efficiency of hyperspectral fused images: (1) different radial basis kernel functions (RBFs) are employed for spectral and textural features, and a new combined radial basis kernel function (CRBF) is proposed by combining them in a weighted manner; (2) the binary decision tree-based multiclass SMO (BDT-SMO) is used in the classification of hyperspectral fused images; (3) experiments are carried out, where the single radial basis function- (SRBF-) based BDT-SMO classifier and the CRBF-based BDT-SMO classifier are used, respectively, to classify the land usages of hyperspectral fused images, and genetic algorithms (GA) are used to optimize the kernel parameters of the classifiers. …”
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    An Improved C-V Model and Application to the Coal Rock Mesocrack Images by Yulong Chen, Hongwei Zhang

    Published 2020-01-01
    “…In order to accurately and comprehensively obtain information about coal rock mesocrack images, image processing technique based on partial differential equation (PDE) is introduced in order to expound on the active contour model without edges and overcome the deficiency of the C-V model. …”
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    Fast and accurate near-duplicate image elimination for visual sensor networks by Zhili Zhou, QM Jonathan Wu, Fang Huang, Xingming Sun

    Published 2017-02-01
    “…First, a coarse-to-fine clustering method based on a combination of global feature and local feature is proposed to cluster near-duplicate images. Then in each near-duplicate group, we adopt PageRank algorithm to analyze the contextual relevance among images to select and reserve seed image and remove the others. …”
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    Magnetic resonance imaging-based deep learning for predicting subtypes of glioma by Zhen Yang, Zhen Yang, Peng Zhang, Yi Ding, Liyi Deng, Tong Zhang, Yong Liu

    Published 2025-01-01
    “…The models were developed based on five categories of preoperative T1-weighted, T1-weighted gadolinium contrast-enhanced, T2-weighted and T2-weighted fluid-attenuated inversion recovery (T1w, T1c, T2w and FLAIR) magnetic resonance imaging (MRI) of four sequences and mixed imaging of the four sequences, respectively. …”
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