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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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  3. 823

    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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  4. 824

    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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    Single Photon Emission Tomography Imaging in Parkinsonian Disorders: A Review by Paul D. Acton, P. David Mozley

    Published 2000-01-01
    “…This review summarises recent applications of SPECT imaging in the study of parkinsonian disorders, with particular reference to the increasing role it is playing in the understanding, diagnosis and management of these diseases.…”
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  19. 839

    Improvement of Image Compression by Changing the Mathematical Equation Style in Communication Systems by Riyadh M. Al-Saleem, Yasameen A. Ghani, Shihab A. Shawkat

    Published 2022-01-01
    “…In this paper, image compressions with losses from this action will be shown for some common patterns. …”
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