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您的检索式：作者名="Jiangying Xuan"
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| 1 | VNLSTM-PoseNet: A novel deep ConvNet for real-time 6-DOF camera relocalization in urban streets显示文摘Image-based relocalization is a renewed interest in outdoor environments,because it is an important problem with many applications.PoseNet introduces Convolutional Neural Network(CNN)for the first time to realize the real-time camera pose solution based on a single image.In order to solve the problem of precision and robustness of PoseNet and its improved algorithms in complex environment,this paper proposes and implements a new visual relocation method based on deep convolutional neural networks(VNLSTM-PoseNet).Firstly,this method directly resizes the input image without cropping to increase the receptive field of the training image.Then,the image and the corresponding pose labels are put into the improved Long Short-Term Memory based(LSTM-based)PoseNet network for training and the network is optimized by the Nadam optimizer.Finally,the trained network is used for image localization to obtain the camera pose.Experimental results on outdoor public datasets show our VNLSTM-PoseNet can lead to drastic improvements in relocalization performance compared to existing state-of-theart CNN-based methods. | Ming Li Jiangying Qin Deren Li Ruizhi Chen Xuan Liao Bingxuan Guo | 2021 | Geo-Spatial Information Science2021，24，3： | 1 |
| 2 | Assessment of complete lymph node dissection in patients with melanoma:A systemic review and meta-analysis显示文摘Background: Complete lymph node dissection(CLND) for patients with melanoma remains controversial. This meta-analysis aimed to compare the prognoses and complications between the CLND and control groups(patients who receive adjuvant treatment or observation only) in patients with sentinel lymph node(SLN)-positive melanoma.Methods: The Pub Med, Embase, Cochrane, and Web of Science databases were searched for cohort studies and randomized clinical trials(RCTs) conducted between 1964 and 2022, and the quality of the studies was assessed using the Cochrane risk-of-bias tool and Newcastle-Ottawa Scale. Hazard ratios(HR) or risk ratios(RR) with 95%confidence intervals(CIs) were calculated for each outcome. Heterogeneity and sensitivity tests were also conducted, and publication bias tests were performed when the pooled number of studies was >10.Results: Fifteen studies, including 11 cohort studies and 4 RCTs, were enrolled and assessed for quality. Analysis of overall survival showed no significant difference between the CLND and control groups(HR=1.02, 95% CI:0.69–1.51, P=0.922). Similarly, recurrence-free survival(HR=0.84, 95% CI: 0.6–1.16, P=0.287), disease-free survival(HR=1.06, 95% CI: 0.65–1.72, P=0.82), and disease-specific survival(HR=0.84, 95% CI: 0.59–1.21,P=0.355) showed no difference between the two groups. CLND did not reduce the risk of recurrence(RR=0.98,95% CI: 0.8–1.2, P=0.851).Conclusion: Remarkably, patients who underwent CLND were more likely to have complications such as flap necrosis and lymphedema than the controls. CLND does not improve patient prognosis and may increase the incidence of complications. | Jiangying Xuan Ming Zhu Lu Wang Zixu Gao Kangjie Shen Ming Ren Yanlin Li Chuanyuan Wei Jianying Gu | 2023 | Chinese Journal Of Plastic and Reconstructive Surgery2023，5，4： | 0 |
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