Showing 5,861 - 5,880 results of 7,164 for search 'NET information', query time: 0.15s Refine Results
  1. 5861

    Fetal-BET: Brain Extraction Tool for Fetal MRI by Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour

    Published 2024-01-01
    “…Using this dataset, we developed and validated deep learning methods, by exploiting the power of the U-Net style architectures, the attention mechanism, feature learning across multiple MRI modalities, and data augmentation for fast, accurate, and generalizable automatic fetal brain extraction. …”
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  2. 5862
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  4. 5864

    A method for the identification of lactate metabolism-related prognostic biomarkers and its validations in non-small cell lung cancer by Weiyang Yang, Miao Gu, Yabin Zhang, Yunfan Zhang, Tao Liu, Di Wu, Juntao Deng, Min Liu, Youwei Zhang

    Published 2025-02-01
    “…We proposed a Cox elastic-net regression combined with genetic algorithm (GA-EnCox) to predict prognosis and optimize the selection of key biomarkers. …”
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  5. 5865

    Interactive Maintenance of Space Station Devices Using Scene Semantic Segmentation by Haoting Liu, Chuanxin Liao, Xikang Li, Zhen Tian, Mengmeng Wang, Haiguang Li, Xiaofei Lu, Zhenhui Guo, Qing Li

    Published 2025-06-01
    “…Regarding the improved network, the original backbone network is replaced with a lightweight convolutional neural network, i.e., the MobileNetV2, with a smaller model scale and computational complexity. …”
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  6. 5866
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  9. 5869

    Projecting direct medical costs and productivity benefits of improving access to advanced therapy for rheumatoid arthritis: a projection modelling study by Chee Yoong Foo, Nurul Azwani Nadia Mansor, Shereen Suyin Ch’ng, Mollyza Mohd Zain

    Published 2023-12-01
    “…ABSTRACTIntroduction: To ensure the sustainability of the AT access improvement, it is important that health system stakeholders have timely, analyzed information accessible for reference and decision-making support. …”
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  10. 5870
  11. 5871

    The impact of patient position changes on advanced hemodynamic indices in laparoscopic and open major abdominal cancer surgeries: retrospective study by Guldeniz Argun, Mustafa Kemal Sahin

    Published 2025-08-01
    “…There was no significant difference in net fluid balance between the two groups (open surgery: 388 ± 60 ml; laparoscopic surgery: 473 ± 21 ml; p = 0.107). …”
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  12. 5872
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  14. 5874

    Pulse Pressure, White Matter Hyperintensities, and Cognition: Mediating Effects Across the Adult Lifespan by Jade Hannan, Sarah Newman‐Norlund, Natalie Busby, Sarah C. Wilson, Roger Newman‐Norlund, Chris Rorden, Julius Fridriksson, Leonardo Bonilha, Nicholas Riccardi

    Published 2025-08-01
    “…Total WMH load was determined from T2‐FLAIR magnetic resonance scans using the TrUE‐Net deep learning tool for white matter segmentation. …”
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  15. 5875

    Preoperative prediction of microvascular invasion and relapse-free survival in hepatocellular Carcinoma ≥3 cm using CT radiomics: Development and external validation by Hua Zhong, Yan Zhang, Guanbin Zhu, Xiaoli Zheng, Jinan Wang, Jianghe Kang, Ziying Lin, Xin Yue

    Published 2025-05-01
    “…Calibration curves and DCA showed a higher net clinical benefit of the combined model. The high-risk group (P < 0.001) was an independent predictor for RFS. …”
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  16. 5876
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    Deep learning-based sow posture classifier using colour and depth images by Verônica Madeira Pacheco, Tami M. Brown-Brandl, Rafael Vieira de Sousa, Gary A. Rohrer, Sudhendu Raj Sharma, Luciane Silva Martello

    Published 2024-12-01
    “…Results indicated that the ResNet-18 model presented the best results and that including depth information improved the performance of all models tested. …”
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  19. 5879

    Masked and Noise-Masked Multimodal Brain Tumor Image Segmentation Using SegFormer and Shared Encoder Framework by K. Hemalatha, P. R. Vishnu Vardhan, Alfred Dharmaraj Aravindraj, S. Hari Hara Sudhan

    Published 2025-01-01
    “…Specifically, the proposed MNMS model achieved a DSC score of 0.9341, outperforming UNEt TRansformers (UNETR), which has a DSC of 0.8208 and 3D U-Net (0.8179). These results highlight its effectiveness in multimodal brain tumor segmentation, ultimately contributing to improved diagnostic accuracy and patient care.…”
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  20. 5880