Showing 3,521 - 3,540 results of 22,078 for search 'visualization (method OR methods)', query time: 0.21s Refine Results
  1. 3521
  2. 3522
  3. 3523

    Global research trends and focus on immunotherapy for endometrial cancer: a comprehensive bibliometric insight and visualization analysis (2012-2024) by Yachen Xu, Yachen Xu, Yachen Xu, Yachen Xu, Tao Wang, Xiaojing Liang, Xiaojing Liang, Xiaojing Liang, Xiaojing Liang, Jie Yang, Jie Yang, Jie Yang, Jie Yang, Yuxiang Zhang, Yuxiang Zhang, Yuxiang Zhang, Yuxiang Zhang, Shan Bao, Shan Bao, Shan Bao, Shan Bao

    Published 2025-04-01
    “…BackgroundThis study conducted a novel systematic bibliometric and visualization analysis of global literature on immunotherapy for endometrial cancer (EC) to explore dynamic trends, research hotspots, and emerging topics, providing valuable references for future research.MethodsArticles and reviews on EC immunotherapy published between 2012 and August 2024 were retrieved from the Web of Science Core Collection (WoSCC). …”
    Get full text
    Article
  4. 3524

    Agreement between 2D Visual- and 3D Motion Capture-based Assessment of Foot Strike Pattern by Haruhiko Goto, Toshinao Kamikubo, Ryota Yamamoto, Toshiharu Tsutsui, Suguru Torii

    Published 2024-11-01
    “…Each foot strike was filmed at 240 fps from the sagittal perspective. The visual, SI, and SA methods were used, and the kappa values for each method were calculated…”
    Get full text
    Article
  5. 3525

    Audio-visual speech enhancement with multi-level feature deep fusion under low signal-to-noise ratio by ZHANG Tianqi, SHEN Xiwen, TANG Juan, TAN Shuang

    Published 2025-05-01
    “…The method consisted of an audio-visual encoding network, a fusion network, and an auditory decoding network. …”
    Get full text
    Article
  6. 3526

    Spatial Resolution Ensured Configuration Planning for Visual Inspection Using Pan-Tilt-Zoom Camera-Equipped Robots by Weitong Wu, Masaya Haneda, Yuki Funabora, Shinji Doki, Kae Doki

    Published 2025-01-01
    “…We propose a novel pan-tilt-zoom (PTZ) camera configuration planning method to improve data collection for structure visual inspections. …”
    Get full text
    Article
  7. 3527

    NDEExplorer: Visual Analytics for Exploring Damage Modes via Multimodal Data in the Non-Destructive Examination of Composite Materials by Dongliang Guo, Lisha Zhou, Xingfa Luo

    Published 2025-01-01
    “…The majority of current research on material damage focuses on the analysis of a single NDE method, resulting in low correlation between different NDE methods, and their results are frequently presented as complex data and images, making it difficult for professionals to obtain intuitive inspection results. …”
    Get full text
    Article
  8. 3528

    Mobile phone app Vs bucket test as a subjective visual vertical test: a validation study by Tianyang Dai, George Kurien, Vincent YW Lin

    Published 2020-02-01
    “…A tilt in SVV indicates vestibular imbalance in the roll plane, and thus injuries to the utricle or its connecting nerves. A validated bedside method (et, al., 2009, 72(19):1689–1692, Neurol, Zwergal) is the bucket method, in which the subject estimates the true vertical by attempting to properly align a straight line visible on the bottom of a bucket that is rotated at random by the examiner. …”
    Get full text
    Article
  9. 3529

    Spectrum of Visual Dysfunction Detected by a Novel Testing Protocol Within a Special School Eye Care Service by Mohammud Musleh, Alison Green, Aleks Mankowska, Catherine Viner, Rachel Pilling

    Published 2024-11-01
    “…Method: A retrospective chart review was undertaken of children participating in a special school vision programme. …”
    Get full text
    Article
  10. 3530
  11. 3531

    Assessing Social Norms, Health Behavior, and Change Using Visually Informed Participatory Research Tools: Social Network Mapping and 2x2 Tables by Kathryn Snyder, J. Rachael HaileSelasse, Girija Kaimal, Suruchi Sood

    Published 2023-06-01
    “…Participatory research can be used in conjunction with quantitative, other qualitative, and mixed methods research methods to collaboratively address priority global health issues that are greatly influenced by social norms. …”
    Get full text
    Article
  12. 3532

    Accurate localization of indoor high similarity scenes using visual slam combined with loop closure detection algorithm. by Zhuoheng Xiang, Jiaxi Guo, Jin Meng, Xin Meng, Yan Li, Jonghyuk Kim, Shifeng Wang, Bo Lu, Yu Chen

    Published 2024-01-01
    “…Furthermore, improvements in feature extraction and matching mechanisms greatly reduced the occurrence of mismatches, enhancing the system's adaptability for more accurate localization and navigation in complex indoor environments. The proposed method effectively enhances localization accuracy and system practicality in visually similar indoor environments, offering a new direction for the development of visual SLAM technology and holding significant application potential in intelligent robots and indoor navigation systems.…”
    Get full text
    Article
  13. 3533

    A proposal of visual assessment of serotonergic deficits in parkinsonian syndromes: An 123I-FP-CIT SPECT study by Tomoko Totsune, Toru Baba, Yoko Sugimura, Hideki Oizumi, Hiroyasu Tanaka, Toshiaki Takahashi, Masaru Yoshioka, Ken-ichi Nagamatsu, Atsushi Takeda

    Published 2025-03-01
    “…First, we graded 123I-FP-CIT uptake in the midbrain and pons with a 4-degree scale and analyzed the interrater agreement of our grading method. Next, we compared the visual grading data of the PD (n = 59) and PS (n = 11) groups and analyzed the diagnostic utility of the qualitative visual assessment method. …”
    Get full text
    Article
  14. 3534

    Comparative Analysis of TAG (Three-Dimensional Architectural Greening) Scenic Beauty Quantitative Techniques Based on Visual Perception by Xi Zhou, Ziyang Dong, Fang Zhang

    Published 2025-04-01
    “…It also investigated the relationship between spatial features and public visual perceptions using methods such as factor and correlation analysis. …”
    Get full text
    Article
  15. 3535

    Visual Geolocalization for Aerial Vehicles via Fusion of Satellite Remote Sensing Imagery and Its Relative Depth Information by Maoan Zhou, Dongfang Yang, Jieyu Liu, Weibo Xu, Xiong Qiu, Yongfei Li

    Published 2025-07-01
    “…Visual geolocalization for aerial vehicles based on an analysis of Earth observation imagery is an effective method in GNSS-denied environments. …”
    Get full text
    Article
  16. 3536

    Satellite-Derived Bathymetry Using Sentinel-2 and Airborne Hyperspectral Data: A Deep Learning Approach with Adaptive Interpolation by Seung-Jun Lee, Han-Saem Kim, Hong-Sik Yun, Sang-Hoon Lee

    Published 2025-07-01
    “…To address the spatial resolution mismatch between Sentinel-2 (10 m) and LiDAR reference data (1 m), three interpolation methods—Inverse Distance Weighting (IDW), Natural Neighbor (NN), and Spline—were employed to resample spectral reflectance data to a 1 m grid. …”
    Get full text
    Article
  17. 3537

    Abstract 247: Visual versus Computer Software Assessment of Perfusion in Anterior Circulation Stroke Treated with Mechanical Thrombectomy by Igor Rigler, Tina Gspan, Senta Frol, Janja Pretnar Oblak

    Published 2023-11-01
    “…CTP assessments, performed either by the visual or computer based method, were graded into four categories, from least to most favorable. …”
    Get full text
    Article
  18. 3538
  19. 3539

    Dual-Stream Contrastive Learning for Medical Visual Representations Using Synthetic Images Generated by Latent Diffusion Model by Weitao Ye, Longfu Zhang, Xiaoben Jiang, Dawei Yang, Yu Zhu

    Published 2025-01-01
    “…Deep learning-based medical image processing methods can enhance diagnostic accuracy while significantly accelerating clinical decision workflows. …”
    Get full text
    Article
  20. 3540

    A Novel Deeply-Learned Image Quality Analysis Algorithm for Clustering by Zhongzhe Chen, Xing Gao

    Published 2024-01-01
    “…Addressing the limitations of existing deep clustering methods, which struggle with variations in image size and quality and are vulnerable to data noise and model deviations, we propose a deeply-learned clustering paradigm in an unsupervised context. …”
    Get full text
    Article