Multi-institutional external validation of automated segmentation models for intracerebral hemorrhage (ICH) and Perihematomal edema (PHE) on Non-Contrast Head CT

被引：0
|
作者：
Payabvash, Sam [1 ]
Desser, Dmitriy [1 ,7 ]
Nawabi, Jawed [7 ]
Abou Karam, Gaby [1 ]
Zeevi, Tal [1 ]
Dierksen, Fiona [1 ]
Qureshi, Adnan I. [2 ,3 ]
Sanelli, Pina C. [4 ]
Werring, David J. [5 ]
Malhotra, Ajay [1 ]
De Havenon, Adam [6 ]
Falcone, Guido J. [6 ]
Sheth, Kevin N. [6 ]
机构：
[1] Yale Sch Med, Dept Radiol & Biomed Imaging, New Haven, CT USA
[2] Univ Missouri, Zeenat Qureshi Stroke Inst, Columbia, MO USA
[3] Univ Missouri, Dept Neurol, Columbia, MO USA
[4] Northwell Hlth, Dept Radiol, Manhasset, NY USA
[5] UCL, Queen Sq Inst Neurol, Stroke Res Ctr, London, England
[6] Yale Sch Med, Dept Neurol, New Haven, CT USA
[7] Univ Berlin, Charite Hosp, Dept Radiol, Berlin, Germany
来源：
CEREBROVASCULAR DISEASES | 2023年 / 52卷
关键词：
Hematoma; peri-hematomal edema; deep learning; machine learning; head CT;
D O I：
暂无
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
PP-18
引用
收藏
页码：71 / 71
页数：1
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