Performance of a deep learning algorithm for the evaluation of CADRADS classification with CCTA

被引：0

作者：

Muscogiuri, Giuseppe ^{[1
]}

Chiesa, Mattia ^{[1
]}

Trotta, Michela ^{[1
]}

Gatti, Marco ^{[2
]}

Palmisano, Vitanio ^{[3
]}

Dellaversana, Serena ^{[4
]}

Baessato, Francesca ^{[5
]}

Cavaliere, Annachiara ^{[6
]}

Cicala, Gloria ^{[7
]}

Loffreno, Antonella ^{[8
]}

Rizzon, Giulia ^{[6
]}

Guglielmo, Marco ^{[1
]}

Baggiano, Andrea ^{[1
]}

Fusini, Laura ^{[1
]}

Andreini, Daniele ^{[1
]}

Pepi, Mauro ^{[1
]}

Guaricci, Andrea Igoren ^{[9
]}

Colombo, Gualtiero ^{[1
]}

Pontone, Gianluca ^{[1
]}

机构：

[1] Ctr Cardiol Monzino, Milan, Italy

[2] Univ Torino, Turin, Italy

[3] Univ Cagliari, Cagliari, Italy

[4] Univ Napoli Federico II, Naples, Italy

[5] Univ Verona, Verona, Italy

[6] Univ Padua, Padua, Italy

[7] Univ Parma, Parma, Italy

[8] Univ Insubria, Varese, Italy

[9] Osped Univ Policlin Consorziale Bari, Bari, Italy

来源：

EUROPEAN HEART JOURNAL SUPPLEMENTS | 2019年 / 21卷 / 0J期

关键词：

D O I：

暂无

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

311

引用

页码：J68 / J68

页数：1

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