Applications of Artificial Intelligence in 18F-Sodium Fluoride Positron Emission Tomography/Computed Tomography: Current State and Future Directions

被引:4
|
作者
Paravastu, Sriram S. [1 ,2 ]
Hasani, Navid [1 ,3 ]
Farhadi, Faraz [1 ,4 ]
Collins, Michael T. [2 ]
Edenbrandt, Lars [5 ]
Summers, Ronald M. [1 ]
Saboury, Babak [1 ,6 ,7 ]
机构
[1] NIH, Dept Radiol & Imaging Sci, Ctr Clin, 9000 Rockville Pike,Bldg 10,Room IC455, Bethesda, MD 20892 USA
[2] NIH, Natl Inst Dent & Craniofacial Res, Skeletal Disorders & Mineral Homeo Stasis Sect, 30 Convent Dr,Bldg 30,Room 228 MSC 4320, Bethesda, MD 20892 USA
[3] Univ Queensland, Ochsner Clin Sch, Fac Med, New Orleans, LA 70121 USA
[4] Geisel Sch Med Dartmouth, Hanover, NH 03755 USA
[5] Sahlgrens Univ Hosp, Dept Clin Physiol, Gothenburg, Sweden
[6] Univ Maryland Baltimore Cty, Dept Comp Sci & Elect Engn, Baltimore, MD USA
[7] Univ Penn, Perelman Sch Med, Dept Radiol, Philadelphia, PA USA
关键词
Artificial Intelligence; Positron Emission Tomography; Computed Tomography; Sodium Fluoride; Bone; Deep learning; SKELETAL TUMOR BURDEN; PET/CT;
D O I
10.1016/j.cpet.2021.09.012
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
[No abstract available]
引用
收藏
页码:115 / 135
页数:21
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