Enhanced characterization of functionally significant coronary lesions using machine learning techniques with radiomics-based analysis

被引：0

作者：

Kalykakis, G. ^{[1
,2
]}

Driest, F. V. ^{[3
]}

Broersen, A. ^{[4
]}

Terentes-Printzios, D. ^{[5
]}

Antonopoulos, A. ^{[5
]}

Vlachichristou, N. Anousakis ^{[1
]}

Liga, R. ^{[6
]}

Visvikis, D. ^{[7
]}

Scholte, A. ^{[8
]}

Knuuti, J. ^{[9
]}

Neglia, D. ^{[10
]}

Anagnostopoulos, C. D. ^{[1
]}

机构：

[1] Biomed Res Fdn Acad Athens, Athens, Greece

[2] Ionio Univ, Corfu, Greece

[3] Leiden Univ, Med Ctr, Dept Cardiol, Leiden, Netherlands

[4] Univ Med Ctr, Div Image Proc, Leiden, Netherlands

[5] Hippocrat Gen Hosp Athens, Athens, Greece

[6] Univ Pisa, Pisa, Italy

[7] Univ Bretagne Occidentale, Brest, France

[8] Leiden Univ, Med Ctr, Leiden, Netherlands

[9] Turku Univ Hosp, Turku, Finland

[10] Inst Clin Physiol, Pisa, Italy

来源：

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING | 2023年 / 50卷 / SUPPL 1期

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：

EPS-178

引用

页码：S273 / S274

页数：2

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