目的对胃镜检查前患者服用祛除胃内黏液药物后采取体位翻转干预对检查中黏膜清晰度影响的文献进行评价研究。方法检索Cochrane Library、Embase、PubMed、Web of Science和中国知网、万方医学等数据库,根据纳入和排除标准筛选文献,运用...目的对胃镜检查前患者服用祛除胃内黏液药物后采取体位翻转干预对检查中黏膜清晰度影响的文献进行评价研究。方法检索Cochrane Library、Embase、PubMed、Web of Science和中国知网、万方医学等数据库,根据纳入和排除标准筛选文献,运用澳大利亚JBI循证卫生保健中心随机对照研究质量评价标准对纳入研究的文献质量进行评价,并进行描述性分析。结果共纳入5篇文献,3篇中文、2篇英文,涉及8种不同的体位干预措施。5篇文献均采用视野下内镜黏膜清晰度评分,干预后以食管、胃体、胃窦和十二指肠作用较为明显,3篇文献对内镜检查时间进行了测量,其中2篇文献提示观察组检查时间短于对照组。结论体位翻转有利于改善内镜下黏膜清晰度,缩短内镜检查时间,但仍需更多大样本、多中心随机对照试验进行更为精确的效果判断。展开更多
The aim of the paper is to solve the problem of over-segmentation problem generated by Watershed segmentation algorithm or unstable clarity judgment by small areas in image fusion. A multi-focus image fusion algorithm...The aim of the paper is to solve the problem of over-segmentation problem generated by Watershed segmentation algorithm or unstable clarity judgment by small areas in image fusion. A multi-focus image fusion algorithm is proposed based on CNN segmentation and algebraic multi-grid method (CNN-AMG). Firstly, the CNN segmentation result was utilized to instruct the merging process of the regions generated by the Watershed segmentation method. Then the clear regions were selected into the temporary fusion image and the final fusion process was performed according to the clarity evaluation index, which was computed with the algebraic multi-grid method (AMG). The experimental results show that the fused image quality obtained by the CNNAMG algorithm outperforms the traditional fusion methods such as DSIFT fusion method, CNN fusion method, ASR fusion method, GFF fusion method and so on with some evaluation indexes.展开更多
文摘目的对胃镜检查前患者服用祛除胃内黏液药物后采取体位翻转干预对检查中黏膜清晰度影响的文献进行评价研究。方法检索Cochrane Library、Embase、PubMed、Web of Science和中国知网、万方医学等数据库,根据纳入和排除标准筛选文献,运用澳大利亚JBI循证卫生保健中心随机对照研究质量评价标准对纳入研究的文献质量进行评价,并进行描述性分析。结果共纳入5篇文献,3篇中文、2篇英文,涉及8种不同的体位干预措施。5篇文献均采用视野下内镜黏膜清晰度评分,干预后以食管、胃体、胃窦和十二指肠作用较为明显,3篇文献对内镜检查时间进行了测量,其中2篇文献提示观察组检查时间短于对照组。结论体位翻转有利于改善内镜下黏膜清晰度,缩短内镜检查时间,但仍需更多大样本、多中心随机对照试验进行更为精确的效果判断。
文摘The aim of the paper is to solve the problem of over-segmentation problem generated by Watershed segmentation algorithm or unstable clarity judgment by small areas in image fusion. A multi-focus image fusion algorithm is proposed based on CNN segmentation and algebraic multi-grid method (CNN-AMG). Firstly, the CNN segmentation result was utilized to instruct the merging process of the regions generated by the Watershed segmentation method. Then the clear regions were selected into the temporary fusion image and the final fusion process was performed according to the clarity evaluation index, which was computed with the algebraic multi-grid method (AMG). The experimental results show that the fused image quality obtained by the CNNAMG algorithm outperforms the traditional fusion methods such as DSIFT fusion method, CNN fusion method, ASR fusion method, GFF fusion method and so on with some evaluation indexes.
