Artificial Intelligence in Lymphoma PET Imaging: A Scoping Review (Current Trends and Future Directions)

被引：19

作者：

Hasani, Navid ^{[1
,2
]}

Paravastu, Sriram S. ^{[1
]}

Farhadi, Faraz ^{[1
]}

Yousefirizi, Fereshteh ^{[3
]}

Morris, Michael A. ^{[1
,4
]}

Rahmim, Arman ^{[3
,5
]}

Roschewski, Mark ^{[6
]}

Summers, Ronald M. ^{[1
]}

Saboury, Babak ^{[1
,4
,7
]}

机构：

[1] NIH, Dept Radiol & Imaging Sci, Ctr Clin, 9000 Rockville Pike,Bldg 10,Room IC455, Bethesda, MD 20892 USA

[2] Univ Queensland, Ochsner Clin Sch, Fac Med, New Orleans, LA 70121 USA

[3] BC Canc Res Inst, Dept Integrat Oncol, Vancouver, BC, Canada

[4] Univ Maryland Baltimore Cty, Dept Comp Sci & Elect Engn, Baltimore, MD 21228 USA

[5] Univ British Columbia, BC Canc Res Inst, Dept Radiol, 675 West 10th Ave, Vancouver, BC V5Z IL3, Canada

[6] NIH, Lymphoid Malignancies Branch, Ctr Canc Res, Bethesda, MD USA

[7] Univ Penn, Perelman Sch Med, Dept Radiol, Philadelphia, PA USA

来源：

PET CLINICS | 2022年 / 17卷 / 01期

关键词：

Artificial intelligence; Deep learning; Positron emission tomography (PET); Lymphoma; Radiomics; Radiophenomics; Segmentation; Detection; METABOLIC TUMOR VOLUME; FDG PET/CT; HODGKIN-LYMPHOMA; RESPONSE CRITERIA; DELTA-RADIOMICS; CELL LYMPHOMA; LUNG-CANCER; STAGE-I; SEGMENTATION; DISEASE;

D O I：

10.1016/j.cpet.2021.09.006

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

页码：145 / 174

页数：30

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