Background:Warm ischemic injury is one of the most important factors affecting renal function in partial nephrectomy(PN).The technique of segmental renal artery clamping emerges as an alternative to conventional renal...Background:Warm ischemic injury is one of the most important factors affecting renal function in partial nephrectomy(PN).The technique of segmental renal artery clamping emerges as an alternative to conventional renal artery clamping for renal hilar control.Objective:To evaluate the feasibility and efficiency of laparoscopic PN(LPN) with segmental renal artery clamping in comparison with the conventional technique.Design,setting,and participants:A total of 75 patients underwent LPN from June 2007 to November 2009.All patients had T1a or T1b tumor in one kidney and a normal contralateral kidney.Thirty-seven patients underwent surgeries with main renal artery clamping,and 38 underwent surgeries with segmental artery clamping.Intervention:All procedures were performed by the same laparoscopic surgeon.Measurements:Blood loss,operation time,warm ischemia(WI) time,and complications affected renal function before and after operation were recorded.Results and limitations:All LPNs were completed without conversion to open surgery or nephrectomy.The novel technique slightly increased WI time(p < 0.001) and intraoperative blood loss(p = 0.006),while it provided better postoperative affected renal function(p < 0.001) compared with the conventional technique.The total complication rate was 12%.Among the 38 cases where segmental renal artery clamping was performed,7 had to convert to the conventional method.Tumor size and location influenced the number of clamped segmental arteries.Long-term postoperative renal function is still awaited.Conclusions:LPN with segmental artery clamping is safe and feasible in clinical practice.It minimizes the intraoperative WI injury and improves early postoperative affected renal function compared with main renal artery clamping.(C) 2010 European Association of Urology.Published by Elsevier B.V.All rights reserved.展开更多
针对行人被障碍物部分遮挡导致的检测准确率降低问题,提出了基于多特征融合的树形路径半全局立体匹配的部分遮挡行人检测算法。使用简单线性迭代聚类(simple linear iterative clustering,SLIC)算法进行超像素分割,提升行人的轮廓信息,...针对行人被障碍物部分遮挡导致的检测准确率降低问题,提出了基于多特征融合的树形路径半全局立体匹配的部分遮挡行人检测算法。使用简单线性迭代聚类(simple linear iterative clustering,SLIC)算法进行超像素分割,提升行人的轮廓信息,并使用多特征融合的树形路径半全局立体匹配算法生成深度图;对行人信息和背景信息及障碍物信息使用自适应分割算法进行分离,获取感兴趣区域;将感兴趣区域放置在行人特征明显且稳定的头肩部,进行感兴趣区域的约束;使用降维梯度直方图特征(histogram of gradient,HOG)进行特征提取并生成样本集,训练支持向量机(support vector machines,SVM)分类器,最终实现部分遮挡的行人检测。实验表明,所提算法与其他行人检测算法相比,在行人部分遮挡场景下,有着更高的行人检测准确率,证明所提算法的有效性。展开更多
为更全面地提取局部放电信号的特征值信息,提高识别率,将局部放电统计特征参数和矩特征参数相结合,提取出高维的特征值。从不同的角度出发,结合两种不同的方法对局放特征进行提取。同时在流形学习非监督的基础上引入了监督信息,从而保...为更全面地提取局部放电信号的特征值信息,提高识别率,将局部放电统计特征参数和矩特征参数相结合,提取出高维的特征值。从不同的角度出发,结合两种不同的方法对局放特征进行提取。同时在流形学习非监督的基础上引入了监督信息,从而保证高维到低维的映射在保留流形某些结构,同时也可进一步分离不同类别的流形。利用基于监督的局部线性嵌入(Supervised Locally Linear Embedding,SLLE)对局部放电特征值进行降维优化处理,提取出具有较高分类能力的最优特征值,利用电力电缆附件的4种典型缺陷进行实验对比,结果表明文中方法较好地提取出最优特征值,且能得到更准确的识别结果。展开更多
文摘Background:Warm ischemic injury is one of the most important factors affecting renal function in partial nephrectomy(PN).The technique of segmental renal artery clamping emerges as an alternative to conventional renal artery clamping for renal hilar control.Objective:To evaluate the feasibility and efficiency of laparoscopic PN(LPN) with segmental renal artery clamping in comparison with the conventional technique.Design,setting,and participants:A total of 75 patients underwent LPN from June 2007 to November 2009.All patients had T1a or T1b tumor in one kidney and a normal contralateral kidney.Thirty-seven patients underwent surgeries with main renal artery clamping,and 38 underwent surgeries with segmental artery clamping.Intervention:All procedures were performed by the same laparoscopic surgeon.Measurements:Blood loss,operation time,warm ischemia(WI) time,and complications affected renal function before and after operation were recorded.Results and limitations:All LPNs were completed without conversion to open surgery or nephrectomy.The novel technique slightly increased WI time(p < 0.001) and intraoperative blood loss(p = 0.006),while it provided better postoperative affected renal function(p < 0.001) compared with the conventional technique.The total complication rate was 12%.Among the 38 cases where segmental renal artery clamping was performed,7 had to convert to the conventional method.Tumor size and location influenced the number of clamped segmental arteries.Long-term postoperative renal function is still awaited.Conclusions:LPN with segmental artery clamping is safe and feasible in clinical practice.It minimizes the intraoperative WI injury and improves early postoperative affected renal function compared with main renal artery clamping.(C) 2010 European Association of Urology.Published by Elsevier B.V.All rights reserved.
文摘针对行人被障碍物部分遮挡导致的检测准确率降低问题,提出了基于多特征融合的树形路径半全局立体匹配的部分遮挡行人检测算法。使用简单线性迭代聚类(simple linear iterative clustering,SLIC)算法进行超像素分割,提升行人的轮廓信息,并使用多特征融合的树形路径半全局立体匹配算法生成深度图;对行人信息和背景信息及障碍物信息使用自适应分割算法进行分离,获取感兴趣区域;将感兴趣区域放置在行人特征明显且稳定的头肩部,进行感兴趣区域的约束;使用降维梯度直方图特征(histogram of gradient,HOG)进行特征提取并生成样本集,训练支持向量机(support vector machines,SVM)分类器,最终实现部分遮挡的行人检测。实验表明,所提算法与其他行人检测算法相比,在行人部分遮挡场景下,有着更高的行人检测准确率,证明所提算法的有效性。
文摘为更全面地提取局部放电信号的特征值信息,提高识别率,将局部放电统计特征参数和矩特征参数相结合,提取出高维的特征值。从不同的角度出发,结合两种不同的方法对局放特征进行提取。同时在流形学习非监督的基础上引入了监督信息,从而保证高维到低维的映射在保留流形某些结构,同时也可进一步分离不同类别的流形。利用基于监督的局部线性嵌入(Supervised Locally Linear Embedding,SLLE)对局部放电特征值进行降维优化处理,提取出具有较高分类能力的最优特征值,利用电力电缆附件的4种典型缺陷进行实验对比,结果表明文中方法较好地提取出最优特征值,且能得到更准确的识别结果。
