基于全局和局部特征信息的生成对抗网络在海马体分割中的应用

魏志宏, 孔旭东, 孔燕, 闫士举, 丁阳, 魏贤顶, 孔栋, 杨波

Application of Generative Adversarial Networks Based on Global and Local Feature Information in Hippocampus Segmentation

WEI Zhihong, KONG Xudong, KONG Yan, YAN Shiju, DING Yang, WEI Xianding, KONG Dong, YANG Bo

图7 金标准、GGAN(u-net)和GLGAN分割海马体的(a)横断面、(b)冠状面和(c)矢状面结果图. 黄色线表示金标准，红色线表示GGAN分割结果，绿色线表示GLGAN分割结果

Fig. 7 (a) cross-sectional, (b) coronal and (c) sagittal results of the gold standard, GGAN (u-net)and GLGAN segmentation of the hippocampus. Yellow line represents the gold standard, red line represents the GGAN segmentation, and green line represents the GLGAN segmentation