首页> Medical image analysis> Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation

Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation

导出原文传递

翻译打印收藏纠错

关键词 Renal artery segmentation Semi-supervised learning Dense biased network Dense biased connection Deep priori anatomy Hard region adaptation loss function 3D fine segmentation CT angiography image

发布时间 2020-09-23

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Medical image analysis

2020年63卷

相似文献

中文期刊
外文期刊
学位论文
会议论文

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

法律状态公告日	法律状态	法律状态信息

检索历史清除

Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation

Medical image analysis

相似文献

同项目论文

Medical image analysis

相关期刊

检索历史 清除

Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation

Medical image analysis

相似文献

同项目论文

Medical image analysis

相关期刊

检索历史清除