换一批
换一批Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study.
第一作者：
Shuai-Tong,Zhang
第一单位：
School of Medical Technology, Beijing Institute of Technology, Beijing, China.;Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, China.;CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.;Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Ministry of Industry and Information Technology, Beijing, China.
作者：
关键词
18F-FDG PET/CT, 18-fluorine-fluorodeoxyglucose positron-emission tomography/computed tomographyAI, Artificial intelligenceAI-CAD, Artificial intelligence-based computer-aided diagnosisArtificial intelligenceCI, Confidence intervalCT, Computed tomographyESCC, Esophageal squamous cell carcinomaEsophageal squamous cell carcinomaLNM, Lymph node metastasisLymph node metastasisOS, Overall survivalPET/CTPFS, Progression-free survivalSD, Standard deviationSLR, Ratio of the SUV value to liver uptakeSUV, Standardized uptake valuecN, Clinical N stagenCRT, Neoadjuvant chemoradiotherapypN, Pathological N stage
DOI
10.1016/j.heliyon.2023.e14030
PMID
36923854
发布时间
2023-03-16
- 浏览1
Heliyon
2023年9卷3期
e14030页
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