Artificial Intelligence to evaluate metabolic tumor burden in primary staging of rectal cancer with 18F-FDG PET/CT

被引：0

作者：

Etchebehere, E. ^{[1
,2
]}

Heringer, V. ^{[1
]}

Fonseca, J. ^{[1
]}

Mendes, M. C. ^{[1
]}

Amorim, B. ^{[1
]}

Santos, A. ^{[1
,2
]}

Silveira, M. ^{[1
]}

Lima, M. ^{[1
,2
]}

Cunha, L. ^{[1
]}

Martinez, C. A. ^{[1
]}

Coy, C. ^{[1
]}

Barreto, J. ^{[1
]}

机构：

[1] Univ Estadual Campinas, Campinas, Brazil

[2] MND Grp, Campinas, Brazil

来源：

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING | 2024年 / 51卷

关键词：

D O I：

暂无

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：

EP-0861

引用

页码：S775 / S776

页数：2

共 3 条

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[2]

Fonseca J, ASSESSMENT METABOLIC, DOI [10.21203/rs.3.rs-3229037/v1, DOI 10.21203/RS.3.RS-3229037/V1]

[3] Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation [J].

Visvikis, Dimitris ;

Lambin, Philippe ;

Mauridsen, Kim Beuschau ;

Hustinx, Roland ;

Lassmann, Michael ;

Rischpler, Christoph ;

Shi, Kuangyu ;

Pruim, Jan .

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 49 (13) :4452-4463

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