正在加载图片...
工程科学学报 Chinese Journal of Engineering 基于监督学习的前列腺MR/TRUS图像分割和配准方法 丛明吴童刘冬杨德勇杜宇 Prostate MR/TRUS image segmentation and registration methods based on supervised learning CONG Ming.WU Tong,LIU Dong.YANG De-yong.DU Yu 引用本文: 丛明,吴童,刘冬,杨德勇,杜宇.基于监督学习的前列腺MR/TRUS图像分割和配准方法.工程科学学报,2020,42(10): 1362-1371.doi:10.13374.issn2095-9389.2019.10.10.006 CONG Ming.WU Tong,LIU Dong.YANG De-yong.DU Yu.Prostate MR/TRUS image segmentation and registration methods based on supervised learning[J].Chinese Journal of Engineering,2020,42(10):1362-1371.doi:10.13374/j.issn2095- 9389.2019.10.10.006 在线阅读View online:https::/doi.org10.13374.issn2095-9389.2019.10.10.006 您可能感兴趣的其他文章 Articles you may be interested in 一种改进的非刚性图像配准算法 An improved non-rigid image registration approach 工程科学学报.2019,41(7):955 https:1doi.org/10.13374j.issn2095-9389.2019.07.015 基于自动多种子区域生长的遥感影像面向对象分割方法 Object-oriented remote sensing image segmentation based on automatic multiseed region growing algorithm 工程科学学报.2017,3911):1735htps:1doi.org10.13374.issn2095-9389.2017.11.017 基于改进CV模型的金相图像分割 Segmentation of metallographic images based on improved CV model 工程科学学报.2017,3912:1866 https:/1doi.org10.13374.issn2095-9389.2017.12.013 基于椭圆对称方向矩的可见光与红外图像配准算法 Registration of visual-infrared images based on ellipse symmetrical orientation moment 工程科学学报.2017,397):1107htps:1doi.org/10.13374j.issn2095-9389.2017.07.018 基于图像混合核的列生成PM,预测 Column-generation PM25 prediction based on image mixture kernel 工程科学学报.2020,42(7):922htps:/doi.org/10.13374j.issn2095-9389.2019.07.15.002 一种提高图像对比度和视觉质量的新型区域背光算法 A novel local dimming algorithm to improve image contrast and visual quality 工程科学学报.2017,39(12:1888htps:/doi.org/10.13374j.issn2095-9389.2017.12.016基于监督学习的前列腺MR/TRUS图像分割和配准方法 丛明 吴童 刘冬 杨德勇 杜宇 Prostate MR/TRUS image segmentation and registration methods based on supervised learning CONG Ming, WU Tong, LIU Dong, YANG De-yong, DU Yu 引用本文: 丛明, 吴童, 刘冬, 杨德勇, 杜宇. 基于监督学习的前列腺MR/TRUS图像分割和配准方法[J]. 工程科学学报, 2020, 42(10): 1362-1371. doi: 10.13374/j.issn2095-9389.2019.10.10.006 CONG Ming, WU Tong, LIU Dong, YANG De-yong, DU Yu. Prostate MR/TRUS image segmentation and registration methods based on supervised learning[J]. Chinese Journal of Engineering, 2020, 42(10): 1362-1371. doi: 10.13374/j.issn2095- 9389.2019.10.10.006 在线阅读 View online: https://doi.org/10.13374/j.issn2095-9389.2019.10.10.006 您可能感兴趣的其他文章 Articles you may be interested in 一种改进的非刚性图像配准算法 An improved non-rigid image registration approach 工程科学学报. 2019, 41(7): 955 https://doi.org/10.13374/j.issn2095-9389.2019.07.015 基于自动多种子区域生长的遥感影像面向对象分割方法 Object-oriented remote sensing image segmentation based on automatic multiseed region growing algorithm 工程科学学报. 2017, 39(11): 1735 https://doi.org/10.13374/j.issn2095-9389.2017.11.017 基于改进CV模型的金相图像分割 Segmentation of metallographic images based on improved CV model 工程科学学报. 2017, 39(12): 1866 https://doi.org/10.13374/j.issn2095-9389.2017.12.013 基于椭圆对称方向矩的可见光与红外图像配准算法 Registration of visual-infrared images based on ellipse symmetrical orientation moment 工程科学学报. 2017, 39(7): 1107 https://doi.org/10.13374/j.issn2095-9389.2017.07.018 基于图像混合核的列生成PM2.5预测 Column-generation PM2.5 prediction based on image mixture kernel 工程科学学报. 2020, 42(7): 922 https://doi.org/10.13374/j.issn2095-9389.2019.07.15.002 一种提高图像对比度和视觉质量的新型区域背光算法 A novel local dimming algorithm to improve image contrast and visual quality 工程科学学报. 2017, 39(12): 1888 https://doi.org/10.13374/j.issn2095-9389.2017.12.016
向下翻页>>
©2008-现在 cucdc.com 高等教育资讯网 版权所有