基于级联网络的膝关节图像分割与模型构建

马岩,邢藏菊,肖亮

Knee Joint Image Segmentation and Model Construction Based on Cascaded Network

Yan MA,Cang-ju XING,Liang XIAO

图1 本文提出的级联网络的整体框图，设原始图像的左下角坐标为（0, 0），（199, 204）为提取的软骨与半月板的中心坐标，（104, 109），（295, 300）分别为裁剪区域在原图像中左下角与右上角的坐标.最后的分割结果由对两个网络的分割结果根据提取的位置信息进行融合及后处理得到

Fig.1 The overall block diagram of the proposed cascaded network. Let the coordinate of the lower left corner of the original image be (0, 0), (199, 204) is the center coordinate of the extracted cartilage and meniscus, (104, 109) and (295, 300) are the coordinates of the lower left and upper right corners of the crop area in the original image, respectively. The final result is obtained by merging the segmentation results of the two networks according to the extracted position information, and post-processing