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Ultraschall Med
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
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 eFirst
DOI: 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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