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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
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)
,
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)
,
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
› Author Affiliations