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Pay Attention to Vulnerable Groups & Safeguard Citizens' Marriage, Family Rights——On New Marriage Law
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作者 WU CHANGZHEN 《The Journal of Human Rights》 2002年第1期16-21,共6页
Marriage and family remain a universal and eternal subject of study. It covers law, ethics, sociology, psychology and even economics. Law and ethics play the most outstanding role in it. Family ethics and moral standa... Marriage and family remain a universal and eternal subject of study. It covers law, ethics, sociology, psychology and even economics. Law and ethics play the most outstanding role in it. Family ethics and moral standards constitute an important part of social ethical system while marriage and family constitute part of the legal system nearest to the life of the common people. Since the founding of New China, the Party and the State have paid full attention to the marriage and family system. Compared with other laws, the law about marriage and family was the first to be legislated. On May 1, 1950, New China’s first law, the 1950 version of Marriage Law, was promulgated. Commenting on the legal document, Chairman Mao Zedong had this to say: Marriage law concerns 展开更多
关键词 On New Marriage Law Pay attention to Vulnerable groups Safeguard Citizens Family Rights MARRIAGE
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基于双支路特征融合的MRI颅脑肿瘤图像分割研究 被引量:2
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作者 熊炜 周蕾 +2 位作者 乐玲 张开 李利荣 《光电子.激光》 CAS CSCD 北大核心 2022年第4期383-392,共10页
针对磁共振成像(magnetic resonance imaging, MRI)颅脑肿瘤区域误识别与分割网络空间信息丢失问题,提出一种基于双支路特征融合的MRI脑肿瘤图像分割方法。首先通过主支路的重构VGG与注意力模型(re-parameterization visual geometry gr... 针对磁共振成像(magnetic resonance imaging, MRI)颅脑肿瘤区域误识别与分割网络空间信息丢失问题,提出一种基于双支路特征融合的MRI脑肿瘤图像分割方法。首先通过主支路的重构VGG与注意力模型(re-parameterization visual geometry group and attention model, RVAM)提取网络的上下文信息,然后使用可变形卷积与金字塔池化模型(deformable convolution and pyramid pooling model, DCPM)在副支路获取丰富的空间信息,之后使用特征融合模块对两支路的特征信息进行融合。最后引入注意力模型,在上采样过程中加强分割目标在解码时的权重。提出的方法在Kaggle_3m数据集和BraTS2019数据集上进行了实验验证,实验结果表明该方法具有良好的脑肿瘤分割性能,其中在Kaggle_3m上,Dice相似系数、杰卡德系数分别达到了91.45%和85.19%。 展开更多
关键词 磁共振成像(magnetic resonance imaging MRI)颅脑肿瘤图像分割 双支路特征融合 重构VGG与注意力模型(re-parameterization visual geometry group and attention model RVAM) 可变形卷积与金字塔池化模型(deformable convolution and pyramid pooling model DCPM)
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