Application of deep learning and machine learning methods to predict NSCLC patients' survival from baseline 18F-FDG PET images

被引：0
|
作者：
Le, Thi Khuyen [1 ]
David, Chardin [2 ]
Contu, Sara [2 ]
Hugonnet, Florent [3 ]
Bauckneht, Matteo [4 ]
Otto, Josiane [2 ]
Girum, Kibrom [5 ]
Orlhac, Fanny [2 ,6 ]
Humbert, Olivier [2 ]
机构：
[1] 3IA Cote dAzur, Nice, France
[2] Ctr Antoine Lacassagne, Nice, France
[3] Ctr Hosp Princesse Grace Monaco, Monaco, Monaco
[4] IRCCS Osped Policlin San Martino, Genoa, Italy
[5] Univ Paris Saclay, LITO Lab, U1288 Inserm, Inst Curie, Orsay, France
[6] Inst Curie, LITO, INSERM, Paris, France
来源：
JOURNAL OF NUCLEAR MEDICINE | 2023年 / 64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：
P883
引用
收藏
页数：4
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