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Ultraschall Med 2024; 45(03): e2
DOI: 10.1055/a-2235-8731
Correction

Correction: Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study

Erratum: Deep-Learning-Radiomics auf Basis multimodalem Ultraschalls zur Klassifizierung der metastasierten zervikalen Lymphadenopathie in primären Krebsherden: Eine Machbarkeitsstudie

Authors

  • Yangyang Zhu‡

    1   Medical Center of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China (Ringgold ID: RIN74713)
    2   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 (Ringgold ID: RIN578022)

  • Zheling Meng‡

    2   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 (Ringgold ID: RIN578022)
    3   School of Artificial Intelligence, University of the Chinese Academy of Sciences School, Beijing, China (Ringgold ID: RIN617897)

  • Hao Wu

    1   Medical Center of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China (Ringgold ID: RIN74713)

  • Xiao Fan

    1   Medical Center of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China (Ringgold ID: RIN74713)

  • Wenhao lv

    1   Medical Center of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China (Ringgold ID: RIN74713)

  • Jie Tian 

    2   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 (Ringgold ID: RIN578022)
    3   School of Artificial Intelligence, University of the Chinese Academy of Sciences School, Beijing, China (Ringgold ID: RIN617897)

  • Kun Wang

    2   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 (Ringgold ID: RIN578022)
    3   School of Artificial Intelligence, University of the Chinese Academy of Sciences School, Beijing, China (Ringgold ID: RIN617897)

  • Fang Nie 

    1   Medical Center of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China (Ringgold ID: RIN74713)
    4   Gansu Province Medical Engineering Research Center for Intelligence Ultrasound, Lanzhou, China
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Correction to:

Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility studyUltraschall Med 2024; 45(03): 305-315
DOI: 10.1055/a-2161-9369

10.1055/a-2161-9369

In the above-mentioned article the name and funding number of the last funding project was statet incorrectly. Correct: Cuiying Scientific and Technological Innovation Program of The Second Hospital & Clinical Medical School, Lanzhou University (CY2023-YB-B03) This was corrected in the online version on January 12, 2024.



Publication History

Article published online:
12 January 2024

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