中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (dec, 10.1055/a-2161-9369, 2023)

文献类型:期刊论文

作者Zhu, Yangyang1,2; Meng, Zheling2,3; Wu, Hao1; Fan, Xiao1; Lv, Wenhao1; Tian, Jie2,3; Wang, Kun2,3; Nie, Fang1,4
刊名ULTRASCHALL IN DER MEDIZIN
出版日期2024-01-12
页码1
ISSN号0172-4614
DOI10.1055/a-2235-8731
通讯作者Zhu, Yangyang()
WOS研究方向Acoustics ; Radiology, Nuclear Medicine & Medical Imaging
语种英语
WOS记录号WOS:001196014800001
出版者GEORG THIEME VERLAG KG
源URL[http://ir.ia.ac.cn/handle/173211/57986]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Zhu, Yangyang
作者单位1.Lanzhou Univ, Hosp 2, Med Ctr Ultrasound, Lanzhou, Peoples R China
2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
4.Gansu Prov Med Engn Res Ctr Intelligence Ultrasoun, Lanzhou, Peoples R China
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Zhu, Yangyang,Meng, Zheling,Wu, Hao,et al. Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (dec, 10.1055/a-2161-9369, 2023)[J]. ULTRASCHALL IN DER MEDIZIN,2024:1.
APA Zhu, Yangyang.,Meng, Zheling.,Wu, Hao.,Fan, Xiao.,Lv, Wenhao.,...&Nie, Fang.(2024).Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (dec, 10.1055/a-2161-9369, 2023).ULTRASCHALL IN DER MEDIZIN,1.
MLA Zhu, Yangyang,et al."Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (dec, 10.1055/a-2161-9369, 2023)".ULTRASCHALL IN DER MEDIZIN (2024):1.

入库方式: OAI收割

来源:自动化研究所

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