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  1. 1761

    Local Media Image Propagation Algorithm and Its Governance in the Age of Artificial Intelligence by Ming Guo, Weichen Jia

    Published 2022-01-01
    “…With a large number of images provided by TV and other media flowing into the Internet and the reduction of technical barriers, images have not only become a daily practice for people to record their lives and communicate their behaviors but also become an important means for the public to express their discourse in the cyberspace. …”
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  2. 1762
  3. 1763

    Color Image Landscape Photo Hand-Painted Effect Evaluation with PFA Algorithm by Shizhang Liu

    Published 2021-01-01
    “…Against the limitations of color image landscape, this article introduced the PFA algorithm, during the experiment of hand-painted landscape pictures, the effect of color hand-painted images is evaluated by using the coordination degree of natural target detection scene, and the corresponding image evaluation index values are obtained for effective analysis, and the prediction model is established. …”
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  4. 1764

    Color Standardization Method and System for Whole Slide Imaging Based on Spectral Sensing by Shinsuke Tani, Yasuhiro Fukunaga, Saori Shimizu, Munenori Fukunishi, Kensuke Ishii, Kosei Tamiya

    Published 2012-01-01
    “…In the field of whole slide imaging, the imaging device or staining process cause color variations for each slide that affect the result of image analysis made by pathologist. …”
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  5. 1765
  6. 1766

    Differences in Clinical and Imaging Features between Asymptomatic and Symptomatic COVID-19 Patients by Xi Ma, Zhi-Yan Lu, Yan-Juan Qu, Li-Hong Xing, Yu Zhang, Yi-Bo Lu, Li Dong, Hong-Jun Li, Li Li, Xiao-Ping Yin, Chuan-Jun Xu

    Published 2022-01-01
    “…Objectives. The clinical and imaging features of asymptomatic carriers of severe acute respiratory syndrome coronavirus 2 and symptomatic COVID-19 patients. …”
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  7. 1767

    Text Extraction from Historical Document Images by the Combination of Several Thresholding Techniques by Toufik Sari, Abderrahmane Kefali, Halima Bahi

    Published 2014-01-01
    “…In the first stage, global thresholding is applied on the entire image and two different thresholds are determined from which the most of image pixels are classified into foreground or background. …”
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    Predictors of naming latencies in Lebanese Arabic using a set of 274 images by Kanj Rama, Nasser Maya, Khwaileh Tariq

    Published 2025-01-01
    “…The aim of the current study was to obtain measures of naming latency and word characteristics for 274 images and their concepts. We administered a picture-naming task to 75 typical indigenous Lebanese bilingual and multilingual participants between the ages of 18 to 50 using computerized software to record latencies and responses. 42 participants from the same population participated in a rating task to gather measures of subjective frequency, familiarity, age of acquisition, and imageability. …”
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  11. 1771

    A dataset of blood slide images for AI-based diagnosis of malariaDataverse by Rose Nakasi, Joyce Nakatumba Nabende, Jeremy Francis Tusubira, Aloyzius Lubowa Bamundaga, Alfred Andama

    Published 2025-02-01
    “…The dataset has 3000 labelled thick blood smear images and 1000 labelled thin blood smear images. …”
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  12. 1772

    Sparse Recovery for Bistatic MIMO Radar Imaging in the Presence of Array Gain Uncertainties by Jun Li, Shengqi Zhu, Xixi Chen, Li Lv, Guisheng Liao, Menglei Yi

    Published 2014-01-01
    “…A sparse recovery based transmit-receive angle imaging scheme is proposed for bistatic multiple-input multiple-output (MIMO) radar. …”
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  13. 1773
  14. 1774

    Transferable Targeted Adversarial Attack on Synthetic Aperture Radar (SAR) Image Recognition by Sheng Zheng, Dongshen Han, Chang Lu, Chaowen Hou, Yanwen Han, Xinhong Hao, Chaoning Zhang

    Published 2025-01-01
    “…However, recent studies show that optical image recognition models are widely vulnerable to adversarial examples, which fool the models by adding imperceptible perturbation to the input. …”
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  18. 1778

    Quantifying Liver Cirrhosis by Extracting Significant Features from MRI T2 Image by Ming-Hong Hshiao, Po-Chou Chen, Jo-Chi Jao, Yung-Hui Huang, Chen-Chang Lee, Shih-Yu Chao, Li-Wei Lin, Tai-Been Chen

    Published 2012-01-01
    “…Most patients with liver cirrhosis must undergo a series of clinical examinations, including ultrasound imaging, liver biopsy, and blood tests. However, the quantification of liver cirrhosis by extracting significant features from a T2-weighted magnetic resonance image (MRI) provides useful diagnostic information in clinical tests. …”
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  19. 1779

    Narrow-Energy-Width CT Based on Multivoltage X-Ray Image Decomposition by Jiaotong Wei, Yan Han, Ping Chen

    Published 2017-01-01
    “…International Journal of Biomedical Imaging…”
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  20. 1780