EFNet: evidence fusion network for tumor segmentation from PET-CT volumes (vol 66, 205005, 2021)

被引：0
|
作者：
Diao, Zhaoshuo [1 ]
Jiang, Huiyan [1 ,2 ]
Han, Xian-Hua [3 ]
Yao, Yu-Dong [4 ]
Shi, Tianyu [1 ]
机构：
[1] Northeastern Univ, Software Coll, Shenyang 110819, Peoples R China
[2] Northeastern Univ, Minist Educ, Key Lab Intelligent Comp Med Image, Shenyang 110819, Peoples R China
[3] Yamaguchi Univ, Grad Sch Sci & Technol Innovat, Yamaguchi 7538511, Japan
[4] Stevens Inst Technol, Dept Elect & Comp Engn, Hoboken, NJ 07030 USA
来源：
PHYSICS IN MEDICINE AND BIOLOGY | 2021年 / 66卷 / 24期
关键词：
biomedical segmentation; uncertainty; evidential theory; co-segmentation; PET-CT volumes;
D O I：
10.1088/1361-6560/ac37fd
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
引用
收藏
页数：1
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