Department of Computer Science and Technology, Shandong University of Finance and Economics,jinan250014, China;
Department of Computer Science and Technology, Shandong University of Finance and Economics,jinan250014, China;
Department of Computer Science and Technology, Shandong University of Finance and Economics,jinan250014, China;
image registration; D-Nets; synthesized image; accuracy; recall;
机译:基于曲线描述符和本地D-NET用于鱼眼图像的功能匹配
机译:使用二次配准模型基于血管的眼底配准和视网膜光学相干断层扫描投影图像
机译:使用基于子体积的配准协议对前列腺MR图像的配准精度
机译:基于D-NET的图像登记研究
机译:高效的磁共振脑图像配准和基于高性能配准的脑图像分割。
机译:使用基于子体积的配准协议对前列腺MR图像的配准精度
机译:D-Nets:超越基于补丁的图像描述符