Erratum: Correction: Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (Ultraschall in der Medizin (Stuttgart, Germany : 1980) (2024) 45 3 DOI: 10.1055/a-2161-9369)

Yangyang Zhu; Zheling Meng; Hao Wu; Xiao Fan; Wenhao Lv; Jie Tian; Kun Wang; Fang Nie

doi:10.1055/a-2235-8731

Erratum: Correction: Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (Ultraschall in der Medizin (Stuttgart, Germany : 1980) (2024) 45 3 DOI: 10.1055/a-2161-9369)

Yangyang Zhu
, Zheling Meng
, Hao Wu
, Xiao Fan
, Wenhao Lv
, Jie Tian
, Kun Wang
, Fang Nie

Lanzhou University
CAS - Institute of Automation
University of Chinese Academy of Sciences
Gansu Province Medical Engineering Research Center for Intelligence Ultrasound

科研成果: 期刊稿件 › 评论/辩论

源语言	英语
页（从-至）	e2
期刊	Ultraschall in der Medizin
卷	45
期	3
DOI	https://doi.org/10.1055/a-2235-8731
出版状态	已出版 - 1 6月 2024
已对外发布	是

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1055/a-2235-8731

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhu, Y., Meng, Z., Wu, H., Fan, X., Lv, W., Tian, J., Wang, K., & Nie, F. (2024). Erratum: Correction: Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (Ultraschall in der Medizin (Stuttgart, Germany : 1980) (2024) 45 3 DOI: 10.1055/a-2161-9369). Ultraschall in der Medizin, 45(3), e2. https://doi.org/10.1055/a-2235-8731

Zhu, Yangyang ; Meng, Zheling ; Wu, Hao 等. / Erratum : Correction: Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (Ultraschall in der Medizin (Stuttgart, Germany : 1980) (2024) 45 3 DOI: 10.1055/a-2161-9369). 在: Ultraschall in der Medizin. 2024 ; 卷 45, 号码 3. 页码 e2.

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title = "Erratum: Correction: Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (Ultraschall in der Medizin (Stuttgart, Germany : 1980) (2024) 45 3 DOI: 10.1055/a-2161-9369)",

author = "Yangyang Zhu and Zheling Meng and Hao Wu and Xiao Fan and Wenhao Lv and Jie Tian and Kun Wang and Fang Nie",

year = "2024",

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Zhu, Y, Meng, Z, Wu, H, Fan, X, Lv, W, Tian, J, Wang, K & Nie, F 2024, 'Erratum: Correction: Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (Ultraschall in der Medizin (Stuttgart, Germany : 1980) (2024) 45 3 DOI: 10.1055/a-2161-9369)', Ultraschall in der Medizin, 卷 45, 号码 3, 页码 e2. https://doi.org/10.1055/a-2235-8731

Erratum: Correction: Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (Ultraschall in der Medizin (Stuttgart, Germany : 1980) (2024) 45 3 DOI: 10.1055/a-2161-9369). / Zhu, Yangyang; Meng, Zheling; Wu, Hao 等.
在: Ultraschall in der Medizin, 卷 45, 号码 3, 01.06.2024, 页码 e2.

科研成果: 期刊稿件 › 评论/辩论

TY - JOUR

T1 - Erratum

T2 - Correction: Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (Ultraschall in der Medizin (Stuttgart, Germany : 1980) (2024) 45 3 DOI: 10.1055/a-2161-9369)

AU - Zhu, Yangyang

AU - Meng, Zheling

AU - Wu, Hao

AU - Fan, Xiao

AU - Lv, Wenhao

AU - Tian, Jie

AU - Wang, Kun

AU - Nie, Fang

PY - 2024/6/1

Y1 - 2024/6/1

UR - https://www.scopus.com/pages/publications/85195328286

U2 - 10.1055/a-2235-8731

DO - 10.1055/a-2235-8731

M3 - 评论/辩论

C2 - 38216132

AN - SCOPUS:85195328286

SN - 0172-4614

VL - 45

SP - e2

JO - Ultraschall in der Medizin

JF - Ultraschall in der Medizin

IS - 3

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Zhu Y, Meng Z, Wu H, Fan X, Lv W, Tian J 等. Erratum: Correction: Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (Ultraschall in der Medizin (Stuttgart, Germany : 1980) (2024) 45 3 DOI: 10.1055/a-2161-9369). Ultraschall in der Medizin. 2024 6月 1;45(3):e2. doi: 10.1055/a-2235-8731