Synthetic FDG-Positron Emission Tomography Images for Patients with Non-Small Cell Lung Cancer: A Deep Learning-Based Approach Using Computed Tomography Images

被引：0
|
作者：
Bhat, S. S. [1 ]
Arsenault, T. [2 ]
Baydoun, A. [3 ]
Bailey, L. [1 ]
Amini, A.
George, B. [1 ]
Nam, K. [1 ]
Saieed, G. [1 ]
Abou Zeidane, R. [4 ]
Heo, J. Uk [2 ]
Muzic, R. F., Jr.
Biswas, T. [3 ]
Podder, T. K. [5 ]
机构：
[1] Case Western Reserve Univ, Sch Med, Cleveland, OH USA
[2] Univ Hosp Seidman, Ctr Canc, Cleveland, OH USA
[3] Case Western Reserve Univ, Univ Hosp Seidman Canc Ctr, Cleveland, OH 44106 USA
[4] Lebanese Univ, Fac Med Sci, Hadath, Lebanon
[5] Univ Hosp Seidman, Ctr Canc, Dept Radiat Oncol, Cleveland, OH USA
来源：
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS | 2022年 / 114卷 / 03期
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
2280
引用
收藏
页码：E127 / E128
页数：2
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