换一批Performance of AI Approaches for COVID-19 Diagnosis Using Chest CT Scans: The Impact of Architecture and Dataset.
第一作者：
Astha,Jaiswal
第一单位：
Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
作者：
医学主题词
人类(Humans);体层摄影术, X线计算机(Tomography, X-Ray Computed);疾病大流行(Pandemics);男(雄)性(Male);德国(Germany);女(雌)性(Female);肺炎, 病毒性(Pneumonia, Viral);中年人(Middle Aged);敏感性与特异性(Sensitivity and Specificity);人工智能(Artificial Intelligence);放射摄影术, 胸部(Radiography, Thoracic);冠状病毒感染(Coronavirus Infections);算法(Algorithms);中国(China);老年人(Aged);成年人(Adult)
DOI
10.1055/a-2577-3928
PMID
40300640
发布时间
2026-01-31
基金项目
C-0007/ An International Multi-center Study/Sino-German Center for Research Promotion (SGC), a project entitled CT-based Deep Learning Algorithm in Diagnosis and evaluation of COVID-19
20200601003JC/Jilin Provincial Key Laboratory of Medical imaging & big data
20190902016TC/Radiology and Technology Innovation Center of Jilin Province
Z-2014-07-2003-03/China International Medical Foundation, Imaging Research, SKY
01KX2121/FKZ/RACOON (NUM), "NUM 2.0"
- 浏览0
RoFo
185-198页
相似文献
- 中文期刊
- 外文期刊
- 学位论文
- 会议论文
