PSMA-positive prostatic volume prediction with deep learning based on T2-weighted MRI (vol 129, pg 901, 2024)

被引：0

作者：

Laudicella, Riccardo ^{[1
,2
,3
]}

Comelli, Albert ^{[3
]}

Schwyzer, Moritz ^{[4
]}

Stefano, Alessandro ^{[5
]}

Konukoglu, Ender ^{[6
]}

Messerli, Michael ^{[1
]}

Baldari, Sergio ^{[2
]}

Eberli, Daniel ^{[7
]}

Burger, Irene A. ^{[1
,8
]}

机构：

[1] Univ Zurich, Univ Hosp Zurich, Dept Nucl Med, Zurich, Switzerland

[2] Univ Messina, Dept Biomed & Dent Sci & Morpho Funct Imaging, Nucl Med Unit, Messina, Italy

[3] Ri MED Fdn, Palermo, Italy

[4] Univ Hosp Zurich, Inst Diagnost & Intervent Radiol, Zurich, Switzerland

[5] Natl Res Council IBFM CNR, Inst Mol Bioimaging & Physiol, Cefalu, Italy

[6] Swiss Fed Inst Technol, Comp Vis Lab, Zurich, Switzerland

[7] Univ Hosp Zurich, Dept Urol, Zurich, Switzerland

[8] Cantonal Hosp Baden, Dept Nucl Med, Baden, Switzerland

来源：

RADIOLOGIA MEDICA | 2024年 / 129卷 / 09期

关键词：

D O I：

10.1007/s11547-024-01829-4

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：

引用

页码：1428 / 1428

页数：1

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