PSMA-positive prostatic volume prediction with deep learning based on T2-weighted MRI

被引：0
|
作者：
Laudicella, R. [1 ,2 ,3 ]
Comelli, A. [3 ]
Schwyzer, M. [4 ]
Stefano, A. [5 ]
Konukoglu, E. [6 ]
Messerli, M. [1 ]
Baldari, S. [2 ]
Eberli, D. [7 ]
Burger, I. A. [1 ,8 ]
机构：
[1] Univ Zurich, Univ Hosp Zurich, Dept Nucl Med, Zurich, Switzerland
[2] Univ Messina, Dept Biomed & Dent Sci & Morphofunct 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：
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-0843
引用
收藏
页码：S768 / S768
页数：1
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