A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and...A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and then each search bar was tracked using Kalman filter between frames. The lane detection performance was evaluated and demonstrated in ways of receiver operating characteristic, dice similarity coefficient and real-time performance. For lane departure detection, a lane departure risk evaluation model based on lasting time and frequency was effectively executed on the ARM-based platform. Experimental results indicate that the algorithm generates satisfactory lane detection results under different traffic and lighting conditions, and the proposed warning mechanism sends effective warning signals, avoiding most false warning.展开更多
目的探讨窄带成像放大内镜(narrow band imaging magnification endoscopy,NBI-ME)分级系统在慢性萎缩性胃炎(chronic atrophic gastritis,CAG)实时诊断及危险分层中的价值。方法收集40岁以上接受NBI-ME检查患者的内镜和病理资料,评估NB...目的探讨窄带成像放大内镜(narrow band imaging magnification endoscopy,NBI-ME)分级系统在慢性萎缩性胃炎(chronic atrophic gastritis,CAG)实时诊断及危险分层中的价值。方法收集40岁以上接受NBI-ME检查患者的内镜和病理资料,评估NBI-ME分级系统和组织病理学金标准—OLGA/OLGIM(operative link for gastritis assessment/operative link for gastric intestinal metaplasia assessment)分期系统的相关性及一致性。结果共纳入63例患者,男41例,女22例,胃窦和胃体部的NBI-ME评分和组织学评分的一致性均为73.0%,总体一致性显著(Kappa=0.695,P<0.05;加权Kappa=0.907,P<0.05),其中胃窦的一致性良好(Kappa=0.604,P<0.05),胃体的一致性中等(Kappa=0.487,P<0.05);Cochran-Mantel-Haenszel分析表明,高危NBI-ME分级(Ⅱ~Ⅳ级)的患者诊断为高危OLGA/OLGIM分期的可能性更高(P<0.0001),NBI-ME分级诊断高危CAG/GIM的敏感性为81.8%(95%CI:59.7%~94.8%),特异性为95.1%(95%CI:83.5%~99.4%)。结论NBI-ME评分与组织病理学评分具有较高一致性,它是一种简便、经济并实时诊断CAG及识别胃癌高危人群的检查及随访方式。展开更多
基金Project(51175159)supported by the National Natural Science Foundation of ChinaProject(2013WK3024)supported by the Science andTechnology Planning Program of Hunan Province,ChinaProject(CX2013B146)supported by the Hunan Provincial InnovationFoundation for Postgraduate,China
文摘A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and then each search bar was tracked using Kalman filter between frames. The lane detection performance was evaluated and demonstrated in ways of receiver operating characteristic, dice similarity coefficient and real-time performance. For lane departure detection, a lane departure risk evaluation model based on lasting time and frequency was effectively executed on the ARM-based platform. Experimental results indicate that the algorithm generates satisfactory lane detection results under different traffic and lighting conditions, and the proposed warning mechanism sends effective warning signals, avoiding most false warning.
文摘目的探讨窄带成像放大内镜(narrow band imaging magnification endoscopy,NBI-ME)分级系统在慢性萎缩性胃炎(chronic atrophic gastritis,CAG)实时诊断及危险分层中的价值。方法收集40岁以上接受NBI-ME检查患者的内镜和病理资料,评估NBI-ME分级系统和组织病理学金标准—OLGA/OLGIM(operative link for gastritis assessment/operative link for gastric intestinal metaplasia assessment)分期系统的相关性及一致性。结果共纳入63例患者,男41例,女22例,胃窦和胃体部的NBI-ME评分和组织学评分的一致性均为73.0%,总体一致性显著(Kappa=0.695,P<0.05;加权Kappa=0.907,P<0.05),其中胃窦的一致性良好(Kappa=0.604,P<0.05),胃体的一致性中等(Kappa=0.487,P<0.05);Cochran-Mantel-Haenszel分析表明,高危NBI-ME分级(Ⅱ~Ⅳ级)的患者诊断为高危OLGA/OLGIM分期的可能性更高(P<0.0001),NBI-ME分级诊断高危CAG/GIM的敏感性为81.8%(95%CI:59.7%~94.8%),特异性为95.1%(95%CI:83.5%~99.4%)。结论NBI-ME评分与组织病理学评分具有较高一致性,它是一种简便、经济并实时诊断CAG及识别胃癌高危人群的检查及随访方式。
