Automatic segmentation and 3d visualization of pelvic mesh using mathematical modelling and machine learning techniques in mri

被引：0
|
作者：
Ambartsoumian, Gaik [1 ]
Roy, Souvik [1 ]
Khatri, Gaurav [2 ]
Zimmern, Philippe E. [3 ]
机构：
[1] Univ Texas Arlington, Arlington, TX 76019 USA
[2] Univ Texas Southwestern Med Ctr Dallas, Dept Radiol, Dallas, TX 75390 USA
[3] Univ Texas Southwestern Med Ctr Dallas, Urol, Dallas, TX 75390 USA
来源：
NEUROUROLOGY AND URODYNAMICS | 2020年 / 39卷
关键词：
D O I：
暂无
中图分类号：
R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];
学科分类号：
1002 ; 100201 ;
摘要：
NM127
引用
收藏
页码：S276 / S277
页数：2
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