• 제목/요약/키워드: Tsinghua University

검색결과 441건 처리시간 0.043초

Spinal Angiolipomas : Clinical Characteristics, Surgical Strategies and Prognosis

  • Zhang, Xiaolei;Dong, Sheng;Wang, Guoqin;Zhang, Huifang;Wang, James Jin;Wang, Guihuai
    • Journal of Korean Neurosurgical Society
    • /
    • 제65권1호
    • /
    • pp.49-56
    • /
    • 2022

  • Objective : Angiolipomas are usually found in the subcutaneous tissue of the trunk and limbs. Spinal angiolipomas (SALs) are uncommon and have rarely been reported. We report a series of nine SALs patients who received surgical treatment in our department. To summarize the clinical characteristics of SALs, propose our surgical strategies, and evaluate the effects of the operation. Methods : This was a retrospective review of nine SALs patients who received surgical treatment from August 2015 to March 2020. Total or subtotal resection was determined by the axial localization (dorsal or ventral) and the extent of intervertebral foramen involvement. The outcomes were assessed based on the modified Japanese Orthopaedic Association (mJOA) scoring system utilized before surgery and at various follow-up points. Results : Among the nine patients, the mean mJOA score before surgery was 6.6±2.3, compared with 10.1±1.1 at the last follow-up time point (33.4±11.8 months). All patients achieved good outcomes, even in cases of subtotal resection. Conclusion : Early surgical resection of SALs is recommended, and the specific procedures should be determined by the axial localization (dorsal or ventral) and the extent of intervertebral foramen involvement. Most of the patients had a good prognosis, even in cases of subtotal resection.

  • https://doi.org/10.3340/jkns.2021.0005 인용 PDF KSCI

Multi-focus Image Fusion using Fully Convolutional Two-stream Network for Visual Sensors

  • Xu, Kaiping;Qin, Zheng;Wang, Guolong;Zhang, Huidi;Huang, Kai;Ye, Shuxiong
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제12권5호
    • /
    • pp.2253-2272
    • /
    • 2018

  • We propose a deep learning method for multi-focus image fusion. Unlike most existing pixel-level fusion methods, either in spatial domain or in transform domain, our method directly learns an end-to-end fully convolutional two-stream network. The framework maps a pair of different focus images to a clean version, with a chain of convolutional layers, fusion layer and deconvolutional layers. Our deep fusion model has advantages of efficiency and robustness, yet demonstrates state-of-art fusion quality. We explore different parameter settings to achieve trade-offs between performance and speed. Moreover, the experiment results on our training dataset show that our network can achieve good performance with subjective visual perception and objective assessment metrics.

  • https://doi.org/10.3837/tiis.2018.05.019 인용 PDF KSCI

Exploiting Multi-Hop Relaying to Overcome Blockage in Directional mmWave Small Cells

  • Niu, Yong;Gao, Chuhan;Li, Yong;Su, Li;Jin, Depeng
    • Journal of Communications and Networks
    • /
    • 제18권3호
    • /
    • pp.364-374
    • /
    • 2016

  • With vast amounts of spectrum available in the millimeter wave (mmWave) band, small cells at mmWave frequencies densely deployed underlying the conventional homogeneous macrocell network have gained considerable interest from academia, industry, and standards bodies. Due to high propagation loss at higher frequencies, mmWave communications are inherently directional, and concurrent transmissions (spatial reuse) under low inter-link interference can be enabled to significantly improve network capacity. On the other hand, mmWave links are easily blocked by obstacles such as human body and furniture. In this paper, we develop a multi-hop relaying transmission (MHRT) scheme to steer blocked flows around obstacles by establishing multi-hop relay paths. In MHRT, a relay path selection algorithm is proposed to establish relay paths for blocked flows for better use of concurrent transmissions. After relay path selection, we use a multi-hop transmission scheduling algorithm to compute near-optimal schedules by fully exploiting the spatial reuse. Through extensive simulations under various traffic patterns and channel conditions, we demonstrate MHRT achieves superior performance in terms of network throughput and connection robustness compared with other existing protocols, especially under serious blockage conditions. The performance ofMHRT with different hop limitations is also simulated and analyzed for a better choice of the maximum hop number in practice.

  • https://doi.org/10.1109/JCN.2016.000052 인용 KSCI